Precision Agriculture - Science topic

Dear Researchers, Scientists and Friends,

In the context of the green transformation of the economy, the agricultural sector plays a key role in reducing greenhouse gas emissions and managing natural resources. Industry 4.0 offers advanced technologies such as automation, the Internet of Things (IoT), Big Data and artificial intelligence, which can significantly improve the efficiency of agricultural production by optimising resource consumption. On the other hand, sustainable natural resource management in agriculture focuses on practices such as agroecology, which can ensure long-term ecological balance. The question is which of these options will be more effective in the context of striving for the green transformation of the agricultural sector. According to the accepted research hypothesis, the implementation of Industry 4.0 technology in agriculture will improve production efficiency and reduce the consumption of water, fertilisers and pesticides, which will translate into a reduction of the negative impact on the environment. On the other hand, sustainable management of natural resources in agriculture, based on agro-ecological methods, will contribute to greater ecosystem sustainability, improved soil quality and reduced greenhouse gas emissions in the long term. Industry 4.0 technologies in agriculture offer huge potential in terms of improving production efficiency, minimising the consumption of natural resources and increasing precision in the management of agricultural processes. The use of solutions such as remote monitoring, sensor data analysis, automatic irrigation systems and robotics can help reduce waste in agricultural production and improve the quality of agricultural products. At the same time, sustainable management of natural resources in agriculture emphasises long-term ecological viability, promoting soil regeneration, biodiversity and optimisation of the water cycle. Both strategies can coexist, but this requires precise adaptation of the technology to the specific characteristics of a given region and its natural resources. The choice between the two depends on the specific local conditions, the availability of technology and long-term environmental goals.

I have described the key issues concerning the problem of the ongoing process of global warming, the negative effects of this process and, consequently, the need to increase the scale and accelerate the implementation of the process of green transformation of the economy, climate protection, biosphere and biodiversity of the planet in the following article:

In the following article, I have summarised the results of my research on the relationship between sustainability issues, the origin and significance of the Sustainable Development Goals, the essence of sustainability in the context of social, normative, economic, environmental, climate and human rights aspects, etc. The research also addressed the issue of key determinants of human existential security as an element of the concept of sustainable development.

And what is your opinion on this topic?

Please reply,

I invite everyone to the discussion,

Thank you very much,

Best wishes,

I invite you to scientific cooperation,

Dariusz Prokopowicz

Global food security remains a pressing challenge as population growth, resource scarcity, and climate change place increasing pressure on agricultural systems. Traditional methods struggle to meet growing demands without significant environmental consequences. This article proposes a scalable and sustainable framework to address food security, integrating technological innovation, resource efficiency, and strategic policy interventions.

The approach centers on vertical farming and precision agriculture. Vertical farming enables food production in controlled environments, drastically reducing land, water, and pesticide use, while precision agriculture utilizes IoT and AI to optimize inputs, improving efficiency and minimizing waste. Together, these technologies enhance productivity and sustainability.

The framework also emphasizes circular economy principles, recycling agricultural resources and minimizing waste through practices like composting and renewable energy integration. These methods lower costs and improve access to nutritious food.

Equity-focused political strategies are vital for implementation. Policies that ensure resource distribution, education, and technology adoption are necessary, supported by collaboration among governments, private sectors, and global organizations.

Pilot studies and simulations validate the feasibility of this approach, demonstrating increased food production with reduced environmental impact. This integrated solution offers a practical pathway to sustainable, equitable food systems for a growing global population.

Numerous scientific studies confirm that soil degradation and desertification, which are the result of overexploitation, deforestation and climate change, pose a serious threat to food production and cause mass migration. Intensive land use without adequate fertilisation and protection leads to soil depletion and erosion, while deforestation reduces water retention, increasing the risk of desertification. Climate change, such as rising temperatures and changes in precipitation, also contributes to these negative processes. Soil degradation and desertification have serious consequences for food production, leading to lower yields and, in extreme cases, the complete disappearance of crops, which in turn causes food shortages and price increases. In addition, desertification causes the loss of agricultural land, making it impossible to produce food in these areas. These problems are also the cause of population migration, forcing people to leave their homes in search of better living conditions. In order to effectively solve the problem of soil degradation and desertification, it is necessary to implement comprehensive measures such as sustainable agriculture, soil conservation, restoration of degraded land and the fight against desertification. Scientific research plays an important role in this process by providing the knowledge and analysis necessary to develop effective strategies.

And what is your opinion on this topic?

What is your opinion on this issue?

Please answer,

I invite everyone to the discussion,

Thank you very much,

Best wishes,

I invite you to scientific cooperation,

Dariusz Prokopowicz

I am seeking collaborators for a manuscript on machine learning-based precision agriculture, aimed at publication in a high-impact Scopus-indexed journal. Researchers with relevant expertise, who are interested in contributing are invited to share their email addresses for further discussion. Thank you.

Dear Colleagues,

I invite you to collaborate on a book chapter/research work focused on IoT and precision Agriculture, which is being considered for publication in a Springer-edited volume. I believe your contributions would add significant value to this work.

The book aims to explore emerging technologies, data-driven solutions, and innovative methodologies that enhance agricultural productivity, resource efficiency, and sustainability through IoT and precision agriculture. Potential topics include, but are not limited to:

We would be honored to have you as a co-author/contributor, and we welcome your insights on potential topics or case studies you might wish to include. The submission timeline and guidelines will be shared upon confirmation of your interest.

Please let me know at your earliest convenience if you would be interested in collaborating. I ook forward to the possibility of working together and advancing research in this exciting domain.

Best regards,

Thanks & Regards

Govinda Pal (Ph.D.,M.Tech,B.Tech)

Assistant Professor,Makaut

M:9365447064

In my view, the rise in crop and food prices in 2024 is the result of a complex combination of factors, including intensifying climate change, problems with plant and animal diseases, disruptions in global supply chains and rising demand. Addressing this problem requires sustainable actions, such as investment in climate-resilient agricultural technologies, improved international environmental cooperation, and long-term reforms in food security and stability of commodity markets.

I have described the key issues concerning the problems of the ongoing process of global warming, the negative effects of this process and, therefore, the need to scale up and accelerate the implementation of the green transformation of the economy in the following article:

And what is your opinion on this topic?

What is your opinion on this issue?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

Best wishes,

I would like to invite you to join me in scientific cooperation,

Dariusz Prokopowicz

Highlights some of the framework key components for AI- data driven automation and precision Agriculture?

Methods of soil testing and precision agriculture for determining soil gradients.

What are the benefits of using drones equipped with AI for precision agriculture?

Looking for a professor in Brazil to have a collaborated research projects in the field of agriculture.

1. Precision agriculture, development and implementation of agricultural monitoring and management system based on remote sensing and Internet of Things technology (C1301, C1302).

2. Application of Artificial Intelligence and Machine Learning in Optimizing Agricultural Processes (C1301).

3. Advanced soil and water management and conservation technologies to improve the resilience of agricultural systems to climate change (C1309, C1310, C1311).

4. New crop cultivation and natural resource conservation for resource-efficient and sustainable agriculture (C1304, C1306, C1307, C1308, C0313).

5. Innovative solutions to reduce greenhouse gas emissions from agriculture (C1303, C0308).

6. Crop Genetic Improvement (C1306, C1307, C1308).

7. Integrated Pest Management and Biological Control (C1401, C1402, C1406).

8. Development of New Crop Varieties Resistant to Biotic and Abiotic Stresses (C1305, C1306, C1307, C1308).

For Further information and interested collaborators Kindly Email me and we can discuss in detail, Thank You

Email: zai1318@foxmail.com

For example, by 2050, about 50 percent of arabica coffee plantations will disappear globally due to progressive global warming.

Ghana and Côte d'Ivoire are major producers of cocoa beans. In early 2024, these regions were hit first by heavy rains and then by droughts.

Cocoa prices on commodity exchanges quickly went up. These are further examples of the already realizing large-scale impact of climate change on crop production, more specifically, generating large drops in the level of said production.

The scale of weather anomalies and climatic cataclysms derived from climate change processes is increasing every year. April 2024 was the warmest April in Poland in the history of measurements. Some places in Poland saw temperatures of almost plus 30 degrees C. The spring and near-summer temperatures in April were followed by frosts that wiped out flowers on flowering fruit trees. Many fruit growers lost most or even almost all or all of their projected crop of apples, cherries or other fruits. Interviews with fruit growers show that for at least 2 generations of farmers, fruit growers had not previously experienced such severe weather anomalies

I have described the key issues concerning the problems of the ongoing process of global warming, the negative effects of this process and, therefore, the need to increase the scale and accelerate the implementation of the green transformation of the economy in the following article:

IMPLEMENTATION OF THE PRINCIPLES OF SUSTAINABLE ECONOMY DEVELOPMENT AS A KEY ELEMENT OF THE PRO-ECOLOGICAL TRANSFORMATION OF THE ECONOMY TOWARDS GREEN ECONOMY AND CIRCULAR ECONOMY

In view of the above, I address the following question to the esteemed community of scientists and researchers:

What do you think about this topic?

What is your opinion on this issue?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

Best regards,

Dariusz Prokopowicz

Dear Colleagues,

Ready to showcase your research on cutting-edge crop yield predictions?

We are thrilled to announce a special issue dedicated to the intersection of artificial intelligence and remote sensing in predicting crop yields.

This special issue focuses on AI and remote sensing technologies to provide early and precise yield estimations, thereby revolutionizing farming practices.

Researchers are invited to submit their innovative solutions and research findings on a wide array of topics, including:

🚜 IAI and LiDAR precision agriculture.

📡 satellite imagery for crop monitoring and yield estimation.

🌿 multispectral and hyperspectral imaging in horticulture.

🌦️ Machine learning models for weather impact on crop yields.

🦠 AI-driven pest and disease detection .

💧 Optimization of irrigation systems using remote sensing.

🤖 Deep learning for crop classification.

🌱 Predictive analytics for soil health impact on crop yields.

🔢 Automated crop counting and size estimation.

🌍 Impact of climate change on crop yields.

Don't miss the chance to contribute to this exciting field! Submit your research now: mdpi.com/si/199287

Since the beginning of the first industrial revolution, anthropogenic emissions of greenhouse gases resulting from human activities have been increasing. During this period, the average level of atmospheric temperature has also been rising as a result of the greenhouse effect generated by the accumulation of CO2 and other greenhouse gases in the planet's atmosphere, including primarily methane, a particularly greenhouse gas. The said greenhouse effect is the source of climate change, the main element of which is the accelerating process of global warming. The accelerating process of global warming is causing many adverse effects on human existence and on the planet's biosphere. The negative effects of the accelerating process of global warming include increasingly severe droughts occurring more frequently and covering larger and larger land areas, shortages of drinking water appearing in more and more new areas in many parts of the various continents, violent storms with heavy downpours becoming more frequent in some places, soil barrenness, increasingly higher temperatures and heat in the summer, a decline in the biodiversity of natural ecosystems, and so on. The impact of these processes varies considerably across the world's land regions. For example, according to the World Meteorological Organization and the Copernicus program, i.e. the European Union's Earth observation program, Europe is the fastest warming continent. Since the beginning of the industrial age, the average temperature of the planet has risen by about 2.5 degrees C. Globally, the increase has been about 1 deg C lower. Also, the impact of the ongoing global warming process, i.e. the negative impact on individual industries and sectors of the economy, is and will also vary considerably. Agriculture, for example, is one of those sectors of the economy that will be particularly extremely negatively affected by the global warming process. Accordingly, in some countries, the agriculture carried out in the formula of traditional, intensive, production-intensive, unsustainable agriculture is already being converted to sustainable organic agriculture, which not only produces healthy and mainly or exclusively vegetable crops without the use of pesticides, herbicides and other chemical pesticides and fertilizers, and also applies the goals of sustainable development, the principles of the circular economy and generates energy from renewable and emission-free energy sources. In addition to the conversion of intensive-production formula agriculture to sustainable, emission-free organic farming, in some countries farms are already being prepared and hedged for the future scenario of deepening global warming in the coming years. In order to ensure that the level of crop yields does not drop significantly in the coming years, it is becoming necessary to build rainwater catchment facilities, building ponds and other retention tanks to collect rainwater. To this end, financial subsidies are offered to farmers from the state's public finance system for building such rainwater catching and collecting installations. In a situation where the green transformation of the economy is proceeding far too slowly relative to the needs, i.e. so as to quickly reduce the level of greenhouse gas emissions and slow down the process of global warming, the potential negative scenario of failure to carry out the plan to stop the increase in the average temperature level of the planet's atmosphere at up to 1.5 degrees C (since the beginning of the first industrial revolution) should be considered highly probable. However, if possible, it is necessary to carry out the green transformation of the economy as quickly and efficiently as possible, so that the exceedance of the 1.5 deg C level is as low as possible and thus the escalation of the negative effects of the progressive global warming process is as low as possible. Since agriculture is one of those sectors that are most vulnerable to the negative effects of the progressive process of global warming, then in addition to the green transformation of agriculture that is being carried out, it is necessary to protect farms from the negative effects of climate change, which are steadily increasing from year to year, including increasingly frequent periods of drought, summer heat, weather anomalies, severe storms, etc., in a multifaceted way. In addition to this, it is also necessary to create new crop varieties that will be more resistant to the mentioned negative effects of climate change.

I am conducting research on this issue. I have included the conclusions of my research in the following article:

IMPLEMENTATION OF THE PRINCIPLES OF SUSTAINABLE ECONOMY DEVELOPMENT AS A KEY ELEMENT OF THE PRO-ECOLOGICAL TRANSFORMATION OF THE ECONOMY TOWARDS GREEN ECONOMY AND CIRCULAR ECONOMY

In view of the above, I address the following question to the esteemed community of scientists and researchers:

What do you think about this topic?

What is your opinion on this issue?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

Best wishes,

Dariusz Prokopowicz

Most farmers of developing nations are self learned. they have limited knowledge on ICT & precision agriculture. will it be an obstacle to adopt IoT monitored Alternate Wetting and Drying (AWD) rice irrigation system? can anyone share practical information on this topics with references?

What is precision agriculture, and how does it benefit soil health?

What is the role of artificial intelligence in precision agriculture?

Soil Test Crop Response Approach for Precision Agriculture ?

We've just acquired a few new UAVs from DJI in the past few years with some great technical specifications with regards to RGB+TIR imaging combinations, but we've also had some technical issues arise:

1. How are people dealing with the very special DJI radiometric jpeg format? It appears to be quite different compared to the FLIR r-jpegs, also with some hidden parameters.

2. How are people getting the best image alignment for TIR images in Agisoft or other mosaicking software?

3. How are people extracting the thermal data for vegetation from their resulting images, whether for precision agriculture or for plant phenotyping?

We've had some issues but we've also found some solutions on the way, though the most optimal procedure is still up for discussion!

With a rapidly growing global population, concerns and questions about the ability to feed the ever-increasing number of people living on planet Earth have been around for many years, but still remain. With a growing population, the scale of civilisation's processing of environmental matter, the scale of industrialisation, the consumption of renewable and increasingly also non-renewable raw materials, the increasing scale of waste generation, environmental pollution, greenhouse gas emissions, etc., the possibilities of feeding the world's population in the future will diminish rather than increase. In addition, the negative effects of the development of civilisation, including above all the accelerating process of global warming, may develop at an even faster rate. Therefore, it is necessary to urgently shift the development of civilisation towards sustainability, to significantly increase the scale of implementation of sustainable development goals, to carry out a green transformation of the economy, including a green transformation of agriculture, and to create new forms of sustainable organic farming, which will be more resistant to negative biotic and abiotic external factors, including, above all, limited resources of agricultural land and the successively increasing negative impact of the progressing process of global warming, including increasingly frequent periods of drought, soil barrenness, plagues of pests and various diseases affecting agricultural crops, etc., which will have a negative impact on the development of civilisation.

Therefore, combining the seemingly contradictory goals of increasing the production of food for people with a reduction in the agricultural areas on which agriculture is practised according to the traditional production formula, stopping deforestation turned into aforestation, increasing the production of crops for human rather than livestock consumption, significantly reducing greenhouse gas emissions, increasing the scale of pro-environmental agriculture, etc., it is precisely the development of vertical farming that can help in this process of green transformation of agriculture.

Vertical farming, also referred to by such terms as vertical farming, vertical farms, consists of growing crops in a vertical formula, in which individual plants are placed one above the other on multi-level platforms. This results in a more efficient use of space, practically multiplying the cultivation area. In addition, vertical cultivation can be established and cultivated anywhere, even in the centre of a large city. Vertical cultivation can be established both in specially designed halls and by adapting existing buildings. Crops such as lettuce, strawberries, herbs and mushrooms, for example, are grown in vertical racks, towers with troughs or purpose-built systems with continuous irrigation and additional artificial lighting.

In view of the above, vertical farming is becoming an excellent alternative to traditional agriculture. The vertical positioning of plants allows a very good use of space, as a result of which significant yields can be obtained from a small area. Vertical farming uses up to 10 times less water compared to traditional agriculture. In addition, vertical farming does not use pesticides and other chemical plant protection products, as the plants are grown in closed, air-conditioned rooms with artificial lighting.

These can even be created in multi-storey buildings in cities or in halls located on the outskirts of cities. This also saves on transport and increases the food self-sufficiency of cities. The problem of droughts occurring more and more frequently in areas of fields cultivated under traditional agriculture does not apply to vertical farming. Therefore, vertical agriculture can be an excellent complement and can also partially replace traditional agriculture in the context of the progressive process of global warming. Therefore, in the context of a progressive global warming process, vertical farming can be an excellent complement to traditionally practised sustainable organic farming. In addition, vertical farming, due to the absence of pesticides and other chemical plant protection products, can also be carried out according to the basic principles that apply to organic farming.

In view of the above, I address the following question to the esteemed community of scientists and researchers:

And what is your opinion on this?

What is your opinion on this subject?

Please respond,

I invite you all to discuss,

Thank you very much,

Hoping to hear your opinions, to know your personal opinion, to have an honest approach to discussing scientific issues and not ChatGPT-generated ready-made answers, I deliberately used the phrase "in your opinion" in the question.

The above text is entirely my own work written by me on the basis of my research.

I have not used other sources or automatic text generation systems such as ChatGPT in writing this text.

Copyright by Dariusz Prokopowicz

Best wishes,

Dariusz Prokopowicz

Looking for advantages and limitations for metaverse in agriculture special focus on developing countries...

97 percent of the water on the planet is salt water in the oceans and seas. 3 percent of the water is fresh water, in you, 1/3 in glaciers and 2/3 is cloud water, surface water (rivers, lakes, marshes), hypodermic and deep water. So, man has at his disposal for his needs (including industrial, agricultural, domestic, municipal...) only 1 percent of the water on the planet.

The research shows that with the operation of a sustainable farm or agro-tourism farm practicing organic farming mainly oriented to the cultivation of vegetable crops can be associated, correlated can be the issue of water consumption savings, a large decrease in greenhouse gas emissions, an increase in the scale of energy autonomy, a decrease in the scale of non-biodegradable waste generation, increased financial savings due to less use of chemical plant protection products, etc. Besides, there may be water consumption savings associated with running a sustainable organic farm or agritourism farm, improved water management compared to an unsustainable production farm.

The study found that when a farm allocated 1/10th of the area of cultivated fields for afforestation, tree planting, planting shrubs, creating green areas, green belts separating individual fields, creating ditches with irrigation water for cultivated fields, creating rainwater storage ponds for irrigation of cultivated fields during periods of drought, and it turned out that despite the reduction in cultivated area, crop production increased. In addition, large amounts of water were saved. And if these reduced croplands were used to produce crops as not fodder for livestock but as food for humans then the benefits mentioned above would increase much more.

Producing 1 kg of beef as part of the entire process of farming and cattle breeding consumes as much as a dozen tons of water.

In traditional, productive, intensive agriculture, 4 times more farmland (livestock feed production) is used as part of meat production compared to the situation if the fields produced crops, i.e. grains, fruits and vegetables but used as raw materials to produce food products as food directly for humans.

Increasing the scale of water consumption savings on the farm regardless of the type of agricultural production can also be achieved by building small-scale on-farm water treatment plants, rainwater catchment systems and tanks, retention ponds where rainwater is stored. Rainwater should be used on the farm for, among other things, watering agricultural crops. However, the problem is the increasing incidence of prolonged lack of rainfall and severe periods of heat and drought derived from the progressive process of global warming. In such a situation, deep wells are built and deep water, including Oligocene water, is extracted. If this kind of water is used for agricultural purposes then deep-water resources can quickly run out. Therefore, especially when a farm uses deep-sea water it is essential to create and improve water-saving technologies and systems. In the situation where the farm is located near a river then the solution may be to create a river water treatment plant for agricultural use. And when the farm is next to the sea or ocean then investment in seawater desalination may be a good solution. However, this kind of investment is highly expensive. Then there should be created and developed systems of financial subsidies provided from the state's public finance system, which, under green financing, would help farmers and entrepreneurs operating also in other sectors of the economy to build systems for desalination and possibly also treatment and purification of seawater, which could be used for various purposes, including multi-faceted use on farms.

In a situation where a farm would obtain water from the seas and oceans instead of consuming deep-sea water resources, which will not recover quickly, this would be an important element of natural sustainability. Deep-sea water, including Oligocene water, has been forming for thousands or millions of years. On the other hand, in its extraction and consumption for industrially carried out projects carried out under a predatory economy, the resources of this water can quickly be depleted, and this is an important element of an unsustainable economy. Therefore, within the framework of a sustainable agricultural or agritourism farm carrying out organic farming in a situation of water shortages, increasingly frequent periods of drought, then in order for the farm not to lose its sustainable status it should use rainwater, water from treated wastewater and/or desalinated sea water instead of using deep-sea water resources.

In view of the above, I address the following question to the esteemed community of scientists and researchers:

And what is your opinion about it?

What do you think about this topic?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

Warm regards,

Dariusz Prokopowicz

Precision agriculture is the use of data, sensors, and technology to optimize crop production, reduce environmental impact, and increase profitability. It is one of the most promising and innovative fields of agriculture today, with many successful case studies and examples from around the world. Therefore , most impressive and inspiring applications of precision agriculture in different crops and contexts will be discussed are(problems should be focused especially intern of Irrigation mgmt, crop protection and yield, livestock, soil health and urban agriculture).

AI enhances precision agriculture by utilizing real-time data from soil sensors, weather stations, and drones to optimize farming practices. AI-guided insights enable precise application of resources like water, fertilizers, and pesticides, reducing environmental impacts and promoting sustainable food production.

I have extensive expertise in computer vision, machine learning, and digital image processing, with a specific interest in the domain of intelligent agriculture or data-driven farming. While I have already published a few papers in this area, I am eager to further concentrate on addressing challenging problems within this field. Additionally, I am actively seeking collaboration opportunities and would greatly appreciate any guidance or recommendations for suitable venues or platforms to foster such collaborations.

What is climate resilience agriculture, and how does it differ from conventional farming practices?

How will emerging technologies such as precision agriculture, gene editing, and robotics impact the future of agriculture?

How can we use sensors and other IoT devices to collect real-time data on soil moisture, temperature, and other environmental factors that affect crop growth?

Currently, globally, three quarters of arable land is used for intensive, unsustainable arable crop production for livestock feed. Livestock farms, primarily cows and pigs, are one of several major sources of greenhouse gas emissions, including a major source of methane emissions into the atmosphere, one of the most dangerous greenhouse gases. Therefore, replacing unsustainable intensive agriculture with sustainable organic agriculture would solve the problems of hunger in many parts of the world, reduce the scale of environmental pollution from pesticides, fertilisers and other derivatives of intensive, unsustainable agricultural production and also allow for increased afforestation of uncultivated areas and consequently significantly reduce the scale of greenhouse gas emissions. Reducing greenhouse gas emissions is the main goal of building a sustainable, emission-free, green circular economy and thus halting the increasingly rapid process of global warming. Stopping the rise in atmospheric temperature to 1.5 degrees Celsius since the start of the first industrial revolution is the main strategic objective of global climate policy and saving the world from a global climate catastrophe, which, according to long-term climate change projections, may already occur at the end of this 21st century. In this context, the development of sustainable organic agriculture producing crops directly for human food rather than livestock is, along with the green transformation of the energy sector, the development of renewable and emission-free energy sources, the development of electromobility, increasing the scale of reforestation, the green transformation of emission-intensive industries, the development of sustainable construction, the improvement of waste separation and recycling techniques and processes, etc., one of several key factors in the reduction of greenhouse gas emissions. The fourth technological revolution currently underway may prove helpful in achieving the above goals. Therefore, Agriculture 4.0, i.e. the application of 4.0 technologies, i.e. technologies typical of the current fourth technological revolution, including those included in Industry 4.0 in agriculture, may prove to be helpful in the smooth implementation of the green revolution in agriculture. The use of new ICT information technologies and Industry 4. 0 makes it possible to increase the scale of automation of crop management and control processes, including the use of satellite monitoring technologies, the precise determination of the composition and dosage of the mixture of organic fertilisers and natural plant protection products, the improvement of irrigation management systems in correlation with changes in the weather, the conduct of analytics of the biochemical and organic composition of soil, design and management of agricultural crop biodiversity and green space management in the surroundings of agricultural fields, automated monitoring and management of renewable and emission-free energy sources supplying the farm with electricity and heat, improvement of waste segregation techniques, recycling, management of composting facilities, etc. In terms of Industry 4.0 technologies, robotics, integrated farm management information systems, Internet of Things technologies, cloud computing, smart technologies, learning machines, deep learning, artificial intelligence, Big Data Analytics, Business Intelligence, digital twins, multi-criteria simulation models, drone technology, 3D printer engineering, additive manufacturing, Blockchain, cyber-security instruments, etc., are among those particularly helpful in achieving the above goals of developing sustainable organic agriculture.

In view of the above, I address the following question to the esteemed community of scientists and researchers:

And what is your opinion on this?

What is your opinion on this subject?

Please respond,

I invite you all to discuss,

Thank you very much,

Warm regards,

Dariusz Prokopowicz

How does precision agriculture improve water management?

What are the uses of precision agriculture technologies (e.g., sensors and mapping) to optimize fertilizer application for crop production?

What is meant by remote sensing?

How prevalent are boron insecticides in modern agriculture?

Does precision agriculture contribute to the overuse of pesticides and herbicides, leading to negative environmental impacts?

Can you explain what precision agriculture is and how it works?

How can precision agriculture technologies, such as drones and sensors, be used to optimize crop yield and reduce input costs?

I'm engaged with a research project, in which the goals go from the delineation of crop zones with similar profits, and reviewing the literature I found a miscellaneous (at least I think it) of concepts about what actually is "management zones" and "homogeneous zones". I found myself confused, and have decided to ask here. So, there is any difference between the two abovementioned terms? If yes, is this difference empirically or theoretically founded?

Agriculture is likely to change significantly in the future. Key determinants of agricultural change include factors such as climate change, including the progressive process of global warming. On the one hand, the main negative effects of the progressive global warming process include increasingly frequent and severe periods of heat and drought. In addition, by the end of this 21st century, all glaciers will have melted, water levels in the seas and oceans will have risen, and areas of arable land will have declined. On the other hand, in order to slow down the progressive process of global warming, it is necessary to urgently reduce the level of greenhouse gas emissions, including CO2 and methane. Climate change will cause a reduction in the scale of agricultural crop production. In order to feed the population, it will therefore be necessary to change dietary habits by switching agricultural crops to the production of plant-based agricultural crops to produce food primarily for humans rather than livestock. At present, globally, three quarters of arable land is used for the production of arable crops, from which fodder is produced to feed reared livestock. In addition to this, due to increasing global warming processes, it will be necessary to develop new crop varieties that are resistant to various biotic (viral, bacterial, fungal diseases, pests, etc.) and abiotic (droughts, heat, floods and other effects of climate change) negative environmental factors. In addition to this, the importance of achieving sustainability goals in agriculture will increase in the future. The generation of energy used in agriculture from renewable and emission-free energy sources will increase in importance. Consequently, environmentally neutral, emission-free, sustainable organic farming based mainly on crop production using new crop varieties that are resistant to progressive climate change and its effects will be developed in the future.

In view of the above, the following questions are becoming increasingly topical:

What do you think about this?

What is your opinion on this topic?

Please reply,

I invite you all to discuss,

Thank you very much,

Greetings,

Dariusz

I am developing an intelligent irrigation system. I have automatic solenoid valves capable of irrigating at the value of the daily evapotranspiration. and I have soil sensors that measure soil moisture. Is there a simple study to find a correlation between evapotranspiration and soil moisture. I propose to use evapotranspiration value for water quantity prediction and humidity value for exact quantity correction and adjustment. are there any other avenues.

I want to know interesting topocs on Precision Agriculture to write papers on. Im also open to collaborations in writing the papers. can you all please suggest me some useful and interesting topcs on precision Agriculture

Hello,

I'm a masters degree student and I am struggling to find a good thesis topic for my masters degree. I would really appreciate if you can help me.

As you know, biosystem engineering is a major where I can work on both mechanical engineering side of things and electrical/computer engineering side of things. Personally, I am interested in precision agriculture(electrical/computer side) and have academical experience on implementing computer vision models(Generally Deep Learning), analyzing and modeling big data(Generally Machine Learning) and deploying IOT applications.

Thank you for your time.

I need training on the use of variable rate technology (VRT), Unmanned Aerial System (UAS) and other precision agriculture training, also is there possibility of getting funding for this type of training.

Predictive models that use ordinary least squares (OLS) for parameter estimation must show residuals with normal distribution and constant variance (homoscedastic).

However, in most scientific articles (in engineering-related areas, at least) I don't see a concern with meeting these assumptions. In your opinion, why does this happen? In the end, the results do not change that much when we make the necessary transformations so that these assumptions are met?

If you have had any experience with this topic, please feel free to share.

Which Q1 and/or Q2 research journals for computer science and precision agriculture area are most suitable for speedy review and publication process? Free of charges Journals are preferables.

We have currently a project about precision agriculture. We will establish a WSN environment, and we will use the data coming from sensors and we will apply some machine learning algorithms to these data to give some recommendations. But we haven't found any dataset that will help us in this goal. Are there any available datasets that related to crop growth with respect to temperature, humidty soil moisture etc?

Agriculture is the basic sector of national economies. The technological progress that has been taking place over the millennia, including mechanization and the chemization of agriculture developed since the beginning of the 20th century, through the use of chemical plant protection products, and then genetics have increased yield per hectare. Technical and technological progress in agriculture has also contributed to the gradual decline in employment in agriculture. However, these are not the most serious problems of agriculture. However, many scientific studies and data of climatologists suggest that in the near future, in the 21st century, these will not be the most serious problems of agricultural development. Well, in the 21st century, due to the progressive global warming, crop acreages and areas of arable land can be significantly reduced. In connection with the emission of greenhouse gases in the perspective of the next dozen or so years, the process of global warming may enter the phase of acceleration of this warming and the inability to reverse this process if man in the coming years fails to implement pro-ecological reforms to implement sustainable and pro-ecological development based on national and global economy. the concept of a new, green economy. If this negative scenario was to be realized then by the end of the 21st century at the latest the average temperature at the Earth's surface will increase by as much as another 4 degrees C, which will increase and increase the scale of increasingly emerging climatic cataclysms, all glaciers and arable land areas they will decrease. As part of climate disasters, droughts, desertification and steppping of existing areas covered with greenery will appear. These processes will also reduce arable land areas. There will be problems with the boarding of a large part of the population, the scale of the national migration of people in search of places to live will increase, to survive. More and more permanent economic crises will appear and the risk of dramatic events, including wars, will increase. Humanity can not let this happen. This is the main challenge of humanity for the 21st century. In the near future, ecological innovations, renewable energy sources, streamlining the process of waste segregation and recycling, the electromobility of motorization etc. should be developed. Scientific research shows that these projects should be carried out on a large scale globally already in the perspective of the next decade. Otherwise, the process of global warming will accelerate and become an irreversible process, which in turn would lead to a global climate disaster at the latest at the end of the 21st century.

In view of the above, the current question is: The importance of agriculture in modern economies in the context of the progressive global warming of the Earth?

Please, answer, comments. I invite you to the discussion.

Agriculture is updating day by day so that we should keep in touch with the new dimension.I want to do research on precision agriculture in the rice sector. If anyone provide me suggestions regarding the issue, it will be very helpful for me.

Drones can also identify drier regions in a field and measures can then be taken to irrigate such regions with better techniques. Precision agriculture provides farmers with such concrete information that enables them to take informed decisions and utilize their resources more efficiently. Kindly give your valuable suggestions....!!!

I've spent a few years outside of school now but looking to go back for a Masters or PhD. I published two papers in undergrad, but my GPA wasn't great due to health problems that have since resolved. I work as a full-stack Software Engineer but have a BS in Food Systems from the University of Minnesota. I'm considering a few different angles and would love advice.

Angle #1: Join an agriculture department as a Masters or PhD student and focus on the computational parts of agriculture. The entry requirements to different schools seems to vary widely.

Angle #2: Start with a Data Science Masters Degree and go from there. A lot of the programs I've looked at so far are very industry focused and also don't go as deep into theory or cutting-edge work as I'd like. A lot of what they cover I've learned on my own so it just seems a way to get a paper proving that I know it. The programs I've seen seem very focused on just moving you up the corporate ladder when I don't really care about that, I just want to work on cool and impactful problems. On the plus side, many seem easier to get into from what I understand.

Angle #3: Attempt to get in a Computer Science Masters or PhD program with a mediocre GPA and hope my research papers and work experience can speak louder than my meh GPA. Would be especially interested in computer vision with the idea of eventually applying it to cutting-edge CV in agriculture (see angle #1).

Any advice? It could be directly on which angle would work best or other things I might not have thought of while I'm considering grad school. I really loved doing research and want to get back into it. I'm considering becoming a professor someday as from my experience of teaching people to code, I realized I also love that. I'm working for the U of Minnesota so get a good discount on classes so I'm planning on taking a grad-level course on Machine Learning this Fall.

Hi guys.

I have some questions for you. I've seeing a lot of people using sentinel 2A images without atmospheric correction because they say _MSIL2A products are already corrected.

However, it's not very clear.

I'm doing tests with Sentinel images, but soon I'll be working with aerial images from drones. Those will have to be corrected too? Because if so, it would delay my work a bit since I was planning to use Agisoft Metashape to produce orthophotos and then use a GIS software to create image classification.

Does anyone have a better methodology for that? By the way, I forgot to say that the work is related to precision agriculture.

Thanks!

Is technological progress in agriculture based on the application of scientific discoveries in the field of biotechnology, genetics, automation and robotics of field works, implementation of biodiversity principles and the creation of resistant to fungal, viral, bacterial and other cultivar diseases, etc. with the elimination of the use of chemical plant protection products will enable in the 21st century the development of sustainable environment-friendly agriculture, ie the kind of agriculture thanks to which healthy vegetables, fruits, grains free from pesticides and other chemical plant protection products and organic farming, ie non-polluting, are produced?

Please reply

Best wishes

Is ecological sustainable agriculture developed according to the concept of natural ecosystems, including the genetically-based genetically-scaled species that will be used in a limited, fully controlled environment, help in the 21st century in increasing the productivity of crop production in the situation of declining areas of arable land?

In connection with the warming up of the Earth's climate by the end of the 21st century, a significant part of the arable land will be either flooded by the seas and oceans or will be excluded from the production of crops due to intensifying drought. As part of the civilizational progress, including increasing the productivity of crop production per hectare, it will be necessary to continue research in this field. As part of the pro-ecological development of agriculture based on the assumptions of sustainable pro-ecological development, ie the concept of green economy, chemistry should be gradually reduced to reduce environmental pollution and reduce the impact of chemicals on human health and other life forms. In this way, the adverse impact of civilizational imbalances in natural ecosystems will be limited. In connection with the above, the aim of continuing increasing the production efficiency of agricultural crops per hectare in the future will be intensified by mechanization automation, robotization, improvement of weather forecasting and logistics systems for field works, and improvement of current crop varieties by increasing their resistance to viral and bacterial diseases, fungal, parasitic etc. An important field of research and scientific discipline, thanks to which it is possible to gradually improve current crop varieties by increasing their resistance to diseases is genetics. In addition, it is necessary to improve irrigation and greenhouse systems due to the progressive global warming and more and more often natural cataclysms. It is also important to improve the techniques of recycling and re-use of waste from intensified agricultural production, so that those wastes that are unsuitable for re-use were as few as possible. It is also important to limit the wastage of produced crops, reduce and develop the recycling of organic waste from the food production process in the agri-food processing sector. As part of the development of sustainable agriculture, it is also important to develop organic farming referring to natural ecosystems. This type of agriculture refers to natural ecosystems in which primary varieties of arable crops function or function. As part of this concept of ecological agriculture, different agricultural crops grow on one agricultural area, which also limits the potential scale of pest feeding and feeding, and ensures a better economy of savings in the use of plant protection products. Therefore, the use of genetics should be limited only to the successive improvement of current varieties of agricultural produce by increasing their resistance to viral, bacterial, fungal, parasitic diseases, and not to create completely new species of flora and fauna. In this way, through the process of improving, increasing resistance to diseases of agricultural crops, genetics would help to restore or at least significantly increase the natural balance in intensified agriculture. For this process to work it is necessary to develop also the above-mentioned other techniques of environmentally-friendly sustainable development of agriculture. All of the above-mentioned techniques must be applied in a purposefully, precisely planned integrated system of managing sustainable and environmentally friendly agriculture. In this way, the developed agriculture will be adequate to increase the risk of unfavorable effects of the progressive global warming of the Earth's climate and will be one of the most important determinants of the globally developed sustainable economic development of the entire human civilization, ie deliberately oriented development according to the concept of green economy.

In view of the above, the current question is: Is ecological sustainable agriculture developed according to the concept of natural ecosystems, including the genetically-based genetically-scaled species that will be used in a limited, fully controlled environment, help in the 21st century in increasing the productivity of crop production in the situation of declining areas of arable land?

Please, answer, comments. I invite you to the discussion.

What kind of scientific research dominate in the field of Importance of agriculture in the context of the ongoing global warming process?

Please, provide your suggestions for a question, problem or research thesis in the issues: Importance of agriculture in the context of the ongoing global warming process.

Please reply.

I invite you to the discussion

Best wishes

Here is a compilation of Soil Water Storage Capacities.

The data are from multiple sources, and often there are variations depending on the source.

Are the data in line with your data, or needs to be corrected?

Full-time, benefited position with the Department of Viticulture & Enology/Viticulture and Enology Research Center through the California State University, Fresno Foundation. The Department of Viticulture & Enology/Viticulture and Enology Research Center is seeking a PostDoctoral Scholar who is experienced in computer vision or remote sensing and is passionate about Machine learning/Deep learning, automated and digital agriculture, and chemometrics. We are interested in working with a motivated scholar who can think creatively and practically about production-oriented remote sensing and “big data” applications in agriculture. Strong quantitative background is preferred (as demonstrated by publications), experience with unmanned aerial vehicle and hands-on electronic ability is a plus. This position is based within the Department of Viticulture & Enology/Viticulture and Enology Research Center, through the California State University, Fresno Foundation. The selected candidate will also have the opportunity to collaborate nationwide with scholars from other universities (Cornell, UC ANR) within multi-institution projects funded from USDA, CDFA and CSU-ARI. Within overarching project goals, the candidate will have intellectual freedom to develop and pursue the research directions they find most interesting. Mentorship will focus on helping the candidate meet their professional development goals, whether in academia or elsewhere. The position is 100% time (40 hours per week), benefited, and funded for 12 months initially, may be renewed based on funding and contingent on satisfactory progress.

PLEASE FIND THE FULL CALL AT THIS LINK:

https://bit.ly/38blKD6

How will agriculture look in the future? It seems that precision agriculture is gaining importance very quickly, especially in large-scale production. For example, the use of satellite images, remote sensing, drones, automated tractors, etc. is that the dominant trend in agriculture? Should we include these topics in the professional education? I would like to know your opinion or experience, thank you.

Our latest research on "a domain-specific language framework for farm management information systems in precision agriculture" has just been published with @SpringerNature in the Precision Agriculture journal. Open Access.

Groeneveld, D., Tekinerdogan, B., Garousi, V., Catal, C. A domain-specific language framework for farm management information systems in precision agriculture. Precision Agriculture (2020). https://lnkd.in/ddd7Q3B

https://bit.ly/3mugT4U

#precisionagriculture #wur #smartsystems #domainspecificlanguages #dsl #iot #managementinformationsystem

hello,

please we are searching works around interests that include :

Big data, artificial intelligence, drones, agriculture, internet of things, precision agriculture, smart greenhouse, renewables energies.

Thank you very much

Hello. I am trying to understand which is the minimum revisit time for precision agriculture purposes. I am aware that each crop and each physical parameter in the crop requires different revisit time, but if you could adress me to some paper or work that explains how they select the revisit time for at least one parameter in a crop, I would be gratefull. (Just to specify, I am referring to revisit time of a satellite). Thanks. Let me know if I wasn't clear enough.

I am planning to work on the image processing part for the precision agriculture. So I am looking for a large dataset which consists of both crops and weeds. Can anyone let me know where can I find on field images of crops? The images need to be collected from the tractors that run on a crop field. 

Is it viable to adopt precision agriculure technologies in developing countries?

Good morning,

Where can I find a list of crop coefficient (Kc) for Thai crops ?

Thanks

Precision agriculture (PA), in India, is synonymous to Remote sensing, GIS, GPS, VRA and VRT. These are old technologies and during last 3-4 decades enough research has been carried out. But the latest introductions in the field are: automation and Internet of things (IoT), Artificial intelligence (AL), Machine Learning (ML), Big data, Block Chain, Drone based hyper spectral imagery and so on. Very few institute of excellence are doing research on these. Is it the right time to shift towards application for for latest tools and software? How? Is there any research and support system worldwide? What the developing countries will do with small holders?

Why farmers in developing countries do not widely adopt the principles of precision agriculure despite developing simple tools and techniques that can be easily followed?

Hi !

Does anyone know where to access reference crop evapotranspiration for Thailand? Any map ? Historical Statistical Averages ?

Thanks

Judging by what I've read, most of application rate take into consideration the space of the area to be sprayed, they determine how much water needed to fully spray it, and they determine the recommended application rate of herbicides based on the number of gallons. As I see, this doesn't consider the number of weeds in the area.

My question is: Are there any ways to calculate the application rate in terms of weeds biomass in the area?

Can anyone recommend a database that contains raw multispectral images with the different bands and in the same database the NDVI and NDWI index to compare the results obtained? Also, I am looking to see if I use my own multispectral images how I can compare between the vegetation and water of real plants and the NDVI and NDWI indices.

Currently, I am working on Plant growth Monitoring system, where we are applying the concept of Machine Learning and Data Science to predict the growth of the plant with respect to the nutrients contents available in the soil.Here, we are trying to create machine interface for precision agriculture. But , for this we required large amount of data to implement the data science technique to create the required hypothesis of plant growth w.r.t. soil nutrients.

How can I obtain these data in big amount(10,000 in no)?

I really need urgently.Please experts help me in this regard.