Pavlo Lykhovyd

• Doctor of Agricultural Sciences
• Senior Researcher at Institute of Climate-Smart Agriculture of NAAS

Formulation of the problem. Recognition between irrigated and non-irrigated croplands is an important task of modern agricultural science in order to ensure efficient management of water resources in agriculture and control the usage of irrigation systems. Remote sensing data could be utilized as a means for the automation of this task through the...

The main goal of the study was to establish the influence of various tillage systems on the agrophysical properties of dark-chestnut soil under short-grain crop rotation in the irrigated conditions of southern Ukraine. The research was carried out during 2021-2022 in a stationary experiment on a four-field crop rotation: grain maize – winter rapese...

Tillage is an agrotechnological factor with the strongest influence on soil properties, especially, agrophysical and agrochemical ones. Soil fertility depends on numerous soil traits, but mainly on the content of humus (soil organic matter). The current food crisis and the aggravation of negative climate impacts on environmental systems require a s...

Normalized difference vegetation index (NDVI) is frequently used in monitoring of meteorological events. The goal of this study was to establish the relationship between the spatial NDVI with air temperature and precipitation amounts in major crops cultivated in the steppe zone of Ukraine, namely, winter wheat, winter rapeseed, grain corn, soybeans...

The paper presents the results of the study devoted to the examination of the accuracy and reliability of the temperature-based approach of the ‘Evapotranspiration Calculator (Ukraine)’ application for the reference evapotranspiration assessment in Ukraine. The objective of the study was to determine the level of reliability and accuracy of modern...

Remote sensing is a promising technique for better management of water resources in agriculture through improvement of dynamic control and operational scheduling on irrigated croplands. The main goal of this study was to identify the possibilities of application of the normalised difference moisture index (NDMI) to water stress monitoring in maize...

Preventing soil degradation is an important task of modern agrarian science. Preservation and increase in beneficial soil microflora are a precondition for satisfactory ecological functioning of soil and its fertility. The purpose of this study was to investigate the dynamics of beneficial soil microflora in winter wheat crops under the impact of m...

Tillage is one of the major factors affecting soil biological activity, resulting in changes in soil organic carbon (SOC) content, providing for carbon sequestration and shifts in carbon dioxide emission from soils. Current climate change and aggravation of global warming through the increased emission of carbon dioxide are main driving forces for...

The article is devoted to the issue of establishing a correlation-regression relationship between meteorological parameters and the values of NDVI in crops such as sunflower, soybean, grain corn, and rapeseed. The purpose of the scientific work was to study the influence of meteorological conditions, namely air temperature, and precipitation, on th...

The article is devoted to the study of the possibilities of using aerospace monitoring data for remote control and monitoring crops’ growth and development. The study aims to develop and scientifically substantiate a methodological approach to the use of remote sensing data for phenological monitoring of crops, such as sunflower, soybean, and grain...

Formulation of the problem. Remote sensing data might be used for indirect assessment of croplands conditions and drought stress through the calculation of specific vegetation indices, such as vegetation health index (VHI), agriculture stress index (ASI), and drought intensity or weighted mean vegetation health index (WMVHI). However, the accuracy...

Remote sensing is an important branch of modern science and technology with various applications in different branches of life sciences. Its application in agriculture is focused mainly on crop monitoring and yield prediction. However, the value of remote sensing in the systems of automated crop mapping and agroecological zoning of plant species is...

The paper presents the results of the study devoted to the determination of the interrelationship and interchangeability of five widely used indices of agricultural science and practise, namely NDVI, EVI, EVI2, NDWI and DSWI. The study was carried out for the fixed polygon, located in the cold arid steppe zone of Kherson region of Ukraine, during t...

The paper presents the results of a review devoted to the main peculiarities of clary sage cultivation technology in the south of Ukraine. The article focuses on such parameters as terms and methods of sowing, soil tillage, plant care, varietal composition of the medicinal crop. General recommendations on crop cultivation are proposed based on the...

Ukraine has favourable natural conditions for the cultivation of medicinal and aromatic plants, but there is a lack of scientific knowledge and practical guidelines for their cultivation. Clary sage is a valuable and prospective crop for the South of Ukraine and deserves special attention. This study is aimed to investigate theoretical mechanisms o...

The paper presents the results of an analytical study devoted to determining the main biological, botanical, morphological, and economically valuable traits of the clary sage plant. The focus is on the establishment of prospects and possibilities of the crop cultivation in the conditions of the South of Ukraine, considering its natural geographical...

Spatial normalized difference vegetation index finds various applications in crop monitoring and prediction. Although this index is mainly aimed to represent the state of vegetation cover, it is suggested that it could be utilized for other remote monitoring purposes, for example, soil humus content monitoring. The study was carried out in 2022-202...

Current study is devoted to the development of an ideotype of winter wheat variety for cultivation in the conditions of the South of Ukraine. The investigation is based on the results of regional ecological varietal testing, conducted in the Southern Steppe zone on the non-irrigated lands. Varietal traits, included in the study, embraced growing se...

The paper presents the results of the pilot study on the relationship between spatial bare-soil normalized difference vegetation index and content of salts in the dark-chestnut soil of the South of Ukraine. The study is based on the results of soil analyses, conducted in 2016 within the framework of sweet corn cultivation technology investigation a...

Current agricultural research is relevant to crop yield prediction. While there are many mathematical methods for predicting agricultural yields, regression analysis is still one of the more popular ones. The effectiveness of the prediction model is crucial, and it is greatly influenced by the selection of the target function. The purpose of this s...

Crop yield prediction is relevant subject of current agricultural science. There are various mathematical approaches to crop yield prediction, and regression analysis, notwithstanding the fact that it is somewhat outdated, is still one of the most used ones in this purpose. The quality of predictive model is of great importance, and it is strongly...

As far as remotely sensed normalized difference vegetation index (NDVI) applications extend to more specific subjects than plants vegetation conditions assessment, studies are conducted to adopt this spatial index for evaluation of soil properties, e.g., soil nutrients and organic matter content, electrical conductivity, pH, etc. [1–3]. Our studies...

The paper is devoted to elucidation of the results of mathematical modeling of winter wheat yields, cultivated in the rain fed conditions of the South of Ukraine, depending on the varietal traits of the crop. The purpose of the study is the development of the mathematical equation of winter wheat varieties yields in the rain fed conditions of the s...

The article is devoted to the study of the possibilities of using artificial intelligence for agricultural production from the point of view of scientific theory and solving practical problems. The purpose of the study was to investigate the possibility of using a modern artificial intelligence system «Agri1», developed specifically for the needs o...

The effect of plowing depth (20-22; 28-30 cm), mineral fertilization rates (N-P: 0-0, 60-60, 120-120 kg ha-1), and crops density (35,000, 50,000, 65,000, 80,000 plants ha-1) on the yield, and water use efficiency (WUE) of drip-irrigated sweet corn were studied. The field experiment was conducted in the semi-arid climatic conditions of the South of...

The work is dedicated to theoretical study of current climatic trends in Ukraine and their influence on the agricultural sector of the country’s economy together with modern opportunities of crop production increase and efficiency enhancement through the implementation of rational land use policies and the last achievements of information technolog...

Reference evapotranspiration (ETo) is a key agrometeorological index for rational irrigation management. The standard method for ETo estimation, proposed by the FAO, is based on a complicated Penman–Monteith equation and requires many meteorological inputs, making it difficult for practical use by farmers. At present, there are many alternative sim...

Natural treatment for various health conditions is growing more and more popular since the evidence of greater safety comparing to conventional chemical drugs. Saffron (Crocus sativus L.) is a prospective herbal remedy for people suffering from mental disorders and facing health issues with synthetic psychotropic drugs. The number of studies devote...

The article presents the results of a study on the relationship and the possibility of mutual conversion between the normalized differentiated vegetation index (NDVI) and fractional green canopy cover (FGCC) in legumes. The purpose of the work is to provide proposals for models of mutual conversion between the vegetation indices. Materials and meth...

Reference evapotranspiration (ETo) is a key agrometeorological index for rational irrigation management. The standard method for ETo estimation, proposed by FAO, is based on a complicated Penman-Monteith equation, requires great number of meteorological inputs thus making it difficult for practical use by farmers. To the moment, there are many alte...

Crop models are of great use and importance in modern agriculture. Most models imply spatial vegetation indices, such as NDVI, or canopy cover characteristics, such as FGCC, to provide estimation of crops conditions and forecast productivity. The purpose of the study was to (1) determine the possibility of mutual conversion between spatial NDVI and...

The article contains the results of mathematical modeling of grain sorghum yield in the South of Ukraine under different input parameters of wetting and growing season duration.

The goal of the study is to find out the best indices for drought tolerance evaluation in alfalfa genotypes to distinguish the best ones for further use in the plant breeding process for drought resistance. The study was carried out during 2017-2020 at the experimental field of the Institute of Irrigated Agriculture of NAAS (Kherson, Ukraine) with...

The article presents the results of the study on the accuracy of evapotranspiration in the EVAPO mobile application. The aim of the work is to provide recommendations on the effective use of the mobile application for the prompt, low-cost and convenient determination of evapotranspiration and planning the irrigation regime. Materials and methods. T...

Spatial crop monitoring using vegetation indices is one of the most promising technologies for crop mapping and remote phenological observations. The aim of the study was to determine the patterns of seasonal dynamics of the spatial normalized difference vegetation index for the main crops grown in the south of Ukraine and to connect it to their ph...

Global climate change has led to significant shifts in local climatic conditions of Ukraine with the trend to aridity aggravation. Sustainable crop production is at risk due to the aridity level increase. The study is aimed to evaluate aridity index in Ukraine (on the whole country and individual regions’ scales) and the needs in irrigation using h...

Remote sensing is a convenient tool for the study of vegetation cover conditions and dynamics using normalized difference and enhanced vegetation indices. Determination of the connection between weather and vegetation indices plays an important role in better understanding peculiarities of ecosystems reaction to changing climate conditions. The stu...

Early prediction of crop yields on large cropland areas is of a great importance for operational planning in the agrarian sector of economy and ensuring food security. Large-scale forecasts became possible owing to the introduction of remote sensing technologies in the systems of precision agriculture, providing the information on crops conditions...

The article is devoted to the study of the influence of the growth-regulating drug Regoplant on the productivity and growth processes of sugar corn in the conditions of the Southern Steppe of Ukraine on dark chestnut soils under irrigation. The aim of the work was to formulate current recommendations for agricultural producers on the use of the gro...

The aim of the study was to evaluate alfalfa material on drought tolerance to distinguish the genotypes, which are resistant to water deficit at early stages of growth. The study was carried out during 2016-2018 in laboratory conditions at the Institute of Irrigated Agriculture of NAAS (Ukraine) using alfalfa seeds of different genotypes were subje...

The aim of the study was to determine the effect of humidification conditions (drip irrigation and no irrigation) and growth regulators (Agrostimulin, Garth, Lucis, Emistim C) on the seed productivity of alfalfa varieties Unitro and Zoryana. The study was carried out during 2012-2015 at the experimental field of the Institute of Irrigated Agricultu...

The results of statistical modelling for the yields prediction of spring row crops, namely, maize, sorghum and soybean, depending on the values of the remotely sensed normalized difference vegetation index (NDVI) at critical stages of the crops growth and development were presented. The spatial NDVI data obtained from the Sentinel-2 satellite were...

The paper presents the results of the study examining morphological features of root system and their connection with herbage in different alfalfa genotypes, represented by the following varieties and populations: Louise, Zoryana, Nadezhda, Unitro, Seraphim, RK/98, PR-04, MO-115, SV, HMG. The study was conducted within 2015-2018 in the field condit...

Statistical analysis is helpful for better understanding of the processes which take place in agricultural ecosystems. Particular attention should be paid to the processes of crops’ productivity formation under the influence of natural and anthropogenic factors. The goal of our study was to provide new theoretical knowledge about the dependence of...

We determined the accuracy and reliability of yielding models by using the values of two differently obtained indexes – the leaf area index (LAI) obtained through direct surface measurements, and the normalized difference vegetation index (NDVI) obtained through spatial remote sensing of crops. The study based on the drip-irrigated sweet corn yield...

Chickpea (Cicer arietinum L.) is one of the main pulse crops cultivated mostly in the arid and semi-arid regions of the world, very often on saline lands. The problem is that it has not been clearly determined yet what is the safe salinity degree for obtaining uniform and vigorous sprouts of the crop without significant suppression in the parameter...

There is a number of various approaches to the development of yield predictive models in agriculture. One of the most popular is based on the yield modeling from parameters of crop cultivation technology. However, there is another view on the yield prediction models, particularly, based on the use of life factors as yielding parameters. Our study i...

The paper presents the results of the study dedicated to the investigation of sweet corn leaf apparatus growth and development in dependence to the crop cultivation technology elements, viz. depth of plowing, mineral fertilizers application doses, plants density, in the drip-irrigated conditions of the South of Ukraine. The field trials were carrie...

Efficient water management in agriculture is an important part of the general programme on water resources preservation. This study is devoted to the determination of the effects of soil processing system and mineral fertilization on the water use efficiency and productivity of grain corn (Zea mays Linnaeus, 1753). The trials were conducted in 2017...

The results of the study devoted to the evaluation of reliability of the multiple linear regression model for safflower seed yields prediction were presented. Regression model reliability was assessed by the direct comparison of the modeled yields values with the true ones, which were obtained in the field trials with safflower during 2010-2012. Th...

The water supply deficit requires agro-environmental rationale for the use of alternative water sources to feed agricultural crops, viz.: industrial wastes, municipal drains, farm animal waste, drainage and escape water of rice irrigation systems. We analyzed the quality of irrigation water from different sources, with regard to the content of cati...

The goal of our study was to determine reliability of the artificial neural network methodfor prediction of the sweet corn water consumption in the irrigated conditions of the South of Ukraine. The field trials were carried out in 2014-2016 in four replications at the drip-irrigated experimental plots of the agricultural cooperative farm “Radianska...

The results of the study devoted to assessment of accuracy and reliability of the CROPWAT 8.0 software application calculations of the evapotranspiration and crop water requirements are represented in the article. The study was based on the results of the perennial field experiments, conducted during the period from 2012 to 2017 at the irrigated la...

The goal of our study was to determine possible consequences and trends of the climatic changes in the South Steppe zone of Ukraine. We used perennial meteorological data from Kherson regional hydro-meteorological station and international meteorological indexes for assessment of the climate processes. The evapotranspiration in the region in the pe...

Chickpea is supposed to be a prospective crop for soil reclamation. The goal of this study was to determine the effect of tillage and humidification conditions on the chickpea desalination properties. The study was conducted by using the randomized split plot method in four replications during 2012-14 at the Agricultural Cooperative Farm «Radianska...

The milk thistle is a highly valuable medicinal plant, widely used in treatment of liver diseases. Soil-climate conditions of the steppe zone of Ukraine are favourable for crop cultivation. The goal of the study was to determine relations between milk thistle productivity and elements of cultivation technology, viz., primary tillage depth (14–16 an...

Artificial neural networks and linear regression are widely used in particularly all branches of science for modeling and prediction. Linear regression is an old data processing tool, and artificial neural networks are a comparatively new one. The goal of the study was to determine whether artificial neural networks are more accurate than linear re...

p>Scarcity of water is one of the most important problems of irrigated farming. Safe use of contaminated water and waste-water needs continuous monitoring of the water quality and its influence on the irrigated lands and cultivated crops. The Ingulets irrigation system is one of the main systems, which supplies with water fields of Kherson and Myko...

p>The article is devoted to study of the biological activity of soil under sweet corn crops depending on tillage depth, mineral fertilizers application rate with drip irrigation in the soil-ecological conditions of the Dry Steppe Zone of Ukraine. The plan of the experiment foresaw study of such factors: A — tillage depth (moldboard plowing on 20-22...