Vivekananda, one of the greatest sons of India, quoted that, "There is no chance for the welfare of the world unless the condition of women is improved, and it is not possible for a bird to fly on only one wing."This paper endeavors to investigate the position of Women Empowerment in India and highlights the problems and Obstacles of Women Empowerment. Today the empowerment of women is becoming one of the main concerns of 21st hundred years. But basically women empowerment continues to be an illusion of fact. We observe inside our daily life how women become victimized by various public evils. Women Empowerment is the essential instrument to extend women's ability to possess resources also to make proper life selections. Empowerment of women is actually the procedure of improvement of monetary, social and politics position of women, the usually underprivileged ones, in the modern culture. It's the procedure for guarding them against all kinds of violence. The analysis is dependent on purely from supplementary sources. The analysis reveals that ladies of India are relatively disempowered plus they enjoy slightly lower position than that of men regardless of many efforts performed by Government. It really is found that popularity of unequal gender norms by women remain prevailing in the world. The analysis concludes by an observation that usage of Education, Work and Change in Friendly Structure are just the enabling factors to Women Empowerment.
Agriculture plays an essential role in to develop any country. Afghanistan depends a lot on agriculture because agricultural reports and statistics show that 80% of the Afghan population work in agriculture and livestock. The contribution of agriculture in Afghanistan's gross domestic product (GDP) is 31%. We can improve the sector of agriculture with the use of the internet of things based Smart Farming techniques it improves the whole agri-business by keeping an eye on the field in real-time. Sensors has a very vital role in for the interconnectivity and data gathering, IoT device not only provided new techniques for the farmers but it also increased the time-management of the farmers. With the use of the IoT's now farmers require lesser time on field as IoT powered devices are working for him/her. It reduced the workload of farmers as well as the wastage of many useful resources like water used for irrigation and electricity usage, as it required for the working of so many electrical appliances. IoT devices can easily be used to monitor the real time applications. IoT has the potential to new shape the world so that agriculture will be smart agriculture. We want to control everything from the far way, for example, irrigation, temperature, etc. so we have to use WSN, Wi-Fi or ZigBee modules for controlling the crops. This paper aims to address the use of Internet of Things in the field of agriculture sector.
Internet of things (IoT) plays a big important role in agricultural industry recently in order to provide a support to farmers such as growth monitoring system of temperature, humidity and water supply, and also early disease monitoring and detection system. To provide a smart farming solutions, this paper proposed an IoT system with a bot notification on tomato growing stages. The tomato dataset was obtained from Shinchi Agri-Green, the tomato greenhouse in Fukushima, Japan. We trained and tested the deep learning model to detect the fruit proposal region. Then, the detected regions were classified into 6 stages of fruit growth using the visible wavelength as a feature in SVM classification with the weight accuracy of 91.5%.
Every day, big data analytics is gaining more popularity as a tool for analyzing significant amounts of data on demand. Four of the most common big data processing frameworks include Apache Hadoop, Apache Spark, Apache Storm, and Apache Flink. While all four support big data processing, these frameworks differ in their usage and the underlying architecture that supports this usage. A number of studies have devoted time and effort to compare these big data frameworks by evaluating them for a defined key performance indicator (KPI). This paper summarizes these earlier efforts by identifying a common set of key performance indicators, which are Processing Time, CPU Consumption, Latency, Throughput, Execution Time, Sustainable Input Rate, Task Performance, Scalability, and Fault Tolerance, and comparing the four big data frameworks along these KPIs through a literature review. Our work identified Spark as a winner across multiple KPIs, which are processing time, CPU consumption, Latency, Execution time, task performance, and Scalability, for non real-time data, when compared with Apache Hadoop and Apache Storm frameworks. while Flink was best for stream processing in
Conventional greenhouses need regulated climate conditions to grow plants in there. Without an automatic control system, it is quite impossible to maintain the accurate climate conditions inside the green houses. This paper proposes such an automatic system for greenhouses to control its’ internal environment, to store each climate properties in a database for future analysis and to ensure remote monitoring to those data. Internet of Things (IoT) is used for remote monitoring and analysis of data. Also, an android application is developed to display those data in a short range through Bluetooth technology. The system controls the temperature, humidity, light and soil moisture level by sensing the values from sensors and controlling heaters/coolers, sprayers, bulbs and water pumps accordingly.
From farm to fork, information and communication technology sector is being enhanced to facilitate the farmers, croppers and related users of intelligent services. Technological revolution integrates the development of smart devices and IoT services. To feed the ever growing global population, the agriculture industry needs to be extended. Internet of Things opens the door wide for smart farming solution to increase the agricultural production. IoT technologies helps the farmers as a service by providing historical and real time data for predicting soil quality, weather conditions and crop’s health. Smart farming provides the enhanced facility for process automation and evaluation and waste reduction. As a result, all these factors drastically increase the quality and quantity of the food products and decrease the production cost. This paper outlines the promising solutions applied in the sphere of agriculture.