Program code for allocation of the zones of heterogeneity of agricultural fields’ agrobiology biodiversity
Year: 2025
Type: article
Abstract: When implementing modern technologies of agro-industrial production, there is a need to work with a large amount of data for making operational decisions. Constant monitoring of the agro-biological state of agricultural lands is a key component of modern agricultural production. Its implementation is possible through the use of various information and technical means of ground, air, and satellite type, which are used at different stages of crop development. As a re-sult of such activities, significant amounts of information are accumulated that require opera-tional processing, analysis, visualization, and presentation in a format convenient for making management decisions. In this regard, there is a need to systematize data obtained from various sources of monitoring the agrobiological state, which allows you to effectively manage techno-logical processes and optimize costs. This approach contributes to the prompt determination of the norms for the introduction of technological material (fertilizers, seeds, plant protection products), which, in turn, lets you reduce the costs of growing agricultural crops by optimizing them. For prompt decision-making, it is advisable to create software that allows you to display zones of agrobiological heterogeneity on the map with smooth transitions between different values. This will help you accurately determine areas with a similar biological state for a more rational use of technological materials. The developed software product gives an opportunity to implement differentiated applications of resources based on data from information and tech-nical monitoring systems. Preliminary calculations show that possession of such information allows you to save up to 10–25 % of technological materials and also helps to increase yields by 10–20 quintals per hectare.
Authors: O.O. Brovarets, O.Yu. Sapelnikova
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
SDGs: Zero hunger, Life on land
Open Access status: bronze
OpenAlex ID: W4411418012