The article deals with the main problems of creating the agricultural lands market in Ukraine due to the absence of the normative and legal support of its circulation, which should define the set of rights and restrictions of the implementation of this process. It is determined that the agricultural lands market is a social and economic complex that functions in accordance with market laws, national specificity, territorial scope and consists of a set of enterprises, establishments and representative offices, which are directly related to turnover of agricultural lands market. The main prerequisites for formation of effective functioning of the agricultural lands market are substantiated. Structural and logical scheme of this process implementation is constructed. Despite the ban on the purchase and sale of agricultural lands, the market value of land for private peasant farming has been calculated according to an expert assessment of a comparative methodological approach in determining the degree of similarity of objects using the Euclidean distance. The proposed method is appropriate to use in determining the market land value, regardless of its target use, by the degree of similarity of the objects of comparison according to the area, location, physical characteristics, functional characteristics and the availability of improvements, which allows to take into account its quantitative and qualitative characteristics. Keyword : modeling, comparative approach, effectiveness, market, land plot, agriculture This work is licensed under a Creative Commons Attribution 4.0 International License.

In the current realities, the global mission of implementing digital transformations in the agricultural sector is to achieve the UN Sustainable Development Goals. The agribusiness sector is gaining momentum and is not lagging other sectors of the economy in terms of digitalization. Digitalization of agribusiness not only contributes to implementing innovative solutions but also ensures effective resource management, optimization of production processes, and increased agricultural sector competitiveness. Digital transformations open new opportunities for effective management of agricultural enterprises’ land and resource potential. Modern digital technologies contribute to the rational use of land, increased productivity, and environmental sustainability of agribusiness. The purpose of the publication is to study the development features and assess the use and management of agribusiness enterprises’ land and resource potential in the context of digital transformations of the economic environment. The article examines the essence and nature of agribusiness enterprises’ land and resource potential based on the digitalization of the economic environment. The essence and key aspects of digitalizing land and resource potential are determined and substantiated. The features of the current state of functioning of agribusiness enterprises are studied, and it is noted that the agrarian sector of Ukraine is experiencing consolidation and technological modernization, which contributes to increasing its competitiveness and efficiency. The key aspects of applying digital technologies in the context of using agribusiness enterprises’ land and resource potential are studied. It is substantiated that digitalization in agricultural land protection is a necessary condition for improving the mechanism of control and supervisory relations, as well as the management and monitoring system of the land fund. The use of modern technologies allows for the reduction of the influence of the human factor, increases the accuracy of forecasting, and creates conditions for the sustainable use of land resources. Digital transformation allows agribusiness enterprises to use land potential more rationally, reduce costs, and increase productivity. Keywords: digitalization, geographic information systems, remote sensing of the Earth, artificial intelligence, Internet of Things, cloud technologies, agricultural holdings, land and resource potential, agricultural sector.

Офіційний сайт наукового журналу - " Аграрна економіка "

The paper reveals the method of work in the geoinformation system Crop Monitoring on the basis of satellite monitoring data on the example of comparison of two neighboring land uses outside Bortkiv village council of Zolochiv district of Lviv region. One has determined the size of the areas of crops of winter cereals and deduced the dependence between the index of the vegetative index NDVI and their yield capacity on the basis of the estimation of the state of land use by the processing of space information. One has suggested to take into account the value of NDVI when calculating the yield of winter cereals using mathematical modeling. The results obtained from the satellite monitoring data are proposed to be used for the planning of winter cerels yields, determining the area of their sowing and optimizing the harvesting time.

Офіційний сайт наукового журналу - " Аграрна економіка "

The paper describes the theoretical and technical aspects of obtaining information on the condition of cereal crops based on medium resolution space multispectral imagery. Experimental studies have been carried out to create digital index maps for fields with grain crops. The high efficiency of the methodology for studying the state of fields using multispectral satellite images with the use of L1C and higher L2A processing level products is proved, the features and limitations of the methodology are shown. The theoretical and methodological foundations for processing multispectral satellite imagery results have been implemented in many application services and software. They allow, first of all, to generate such important products for explaining the state of vegetation in fields as vegetation index maps. Sentinel-2 L1C and Sentinel-2 L2A space imagery is a valuable and inexpensive source of information on crop condition. During the pilot study, Sentinel- 2 L1C satellite image products were processed to bring them up to the level of Sentinel-2 L2A products. This is a complex step related to the correct selection of the atmospheric correction model and the conversion of pixel values into reflectivity of objects on the Earth's surface. Another important step in this process is the ortho-correction of the images using global terrain models. Such correction can be important for the further generation of task maps for soil and crop management. The creation of a time series of vegetation index maps for a field of winter wheat is a very substantive way to build a field history that fully confirms the theory of remote field monitoring. The information obtained allows us to adapt the processing algorithm to refine the measurement and prediction of quantitative indicators (biomass calculation, yield prediction, etc.). The experiment also revealed some positive features and drawbacks of the method of creating index maps. For example, under certain weather conditions in summer, correcting the images for atmospheric influence does not significantly affect the calculated index values. On the contrary, with the specified acquisition period (5 days), it may turn out that there are no more than 3-5 cloudless days in a month during the spring growing season, which significantly affects the efficiency of mapping. Accordingly, more reliable and accurate, but significantly more expensive, is the multispectral field survey from unmanned aerial vehicles.