Cartographic support of agricultural activities (case of rapeseed cultivation)

The purpose of this article is a systematic analysis of cartographic support introduction in rapeseed cultivation to increase the efficiency of agricultural production. Main material. The use of modern cartographic methods is an integral part of the sustainable development of agricultural production. Introduction of these technologies contributes to increasing efficiency of land resource use, adaptation of the agricultural sector to climate change and environmental protection. Comparison of average, minimum and maximum NDVI values showed a stable trend towards improving the state of vegetation in the studied period. Analysis of vegetation conditions in Cherkasy region based on average NDVI values allows us to assess deeper the agroecological conditions of the region and the potential of its territories for agricultural production. Analysis of the obtained NDVI data demonstrated significant variability in the level of vegetation cover, which indicates various natural and anthropogenic factors that affect the productivity of agricultural lands. Conclusions. Analysis of the theoretical foundations of modern cartographic methods application in agriculture has confirmed that geoinformation technologies, remote sensing of the Earth and vegetation indices, in particular NDVI, are effective tools for cartographic support of management decisions regarding agricultural processes. Assessment of the NDVI index value confirmed its effectiveness in monitoring the condition of rapeseed at different stages of growth. Analysis of the obtained NDVI data demonstrated significant variability in the level of vegetation cover, which indicates various natural and anthropogenic factors affecting the productivity of agricultural lands. The work carried out on the analysis of vegetation conditions in Cherkasy region,, based on average NDVI values, allows for a deeper assessment of the regional agroecological conditions and the potential of its territories for agricultural production.