On the use of AI technologies in agriculture in the material of the newspaper "Беларускі час"
01.07.2025
The United Institute of Informatics Problems of the National Academy of Sciences of Belarus is working on projects in the agricultural sector, where artificial intelligence technologies are actively used.
For example, AI helps sort apples. Employees of the Scientific and Practical Center of the National Academy of Sciences of Belarus for Agricultural Mechanization, together with colleagues from the United Institute of Informatics Problems, have developed a conveyor for automatic sorting of apples. To do this, they created a database of fruits with defects with 6,000 photographs (it continues to expand). Instantly analyzing the photographs, AI records visible defects and diseases and distributes the products into categories.
One of the striking examples of the integration of advanced technologies in the agricultural sector is the Smouzh robotic transport platform. Specialists from the Scientific and Practical Center of the National Academy of Sciences of Belarus for Agricultural Mechanization and the United Institute of Informatics Problems of the National Academy of Sciences of Belarus have created a platform designed for the targeted application of chemical plant protection products.
Deep learning neural networks are used to program the platform to move along a given route. Daytime cameras are used as the main components of technical vision. The use of Lidar technologies, the so-called terrestrial laser scanning, for these purposes is also being studied.
At the BELAGRO-2025 exhibition, the UIIP NAS of Belarus presented another "digital" development in the field of agriculture: "A software package for predicting the occurrence of diseases of agricultural crops and supporting decision-making to reduce damage."
As the head of the laboratory of aerospace monitoring of the UIIP, candidate of technical sciences Sergey Kravtsov, said, this complex allows for early prediction of disease outbreaks and prompt response to them, and also reduces economic losses due to the accurate and timely use of protective equipment. All forecasting systems are based on meteorological data received daily from satellites, which are the basis for predicting the date of onset of diseases.
The National Academy of Sciences has developed and laid down approaches in which, taking into account a number of parameters, it is determined which protective equipment is used at the first, second and subsequent stages. The program also provides recommendations taking into account exactly those plant protection products that are available at a particular enterprise.
In general, as Sergey Kruglikov, Director General of the United Institute of Informatics Problems of the National Academy of Sciences of Belarus, particularly emphasizes, all projects are aimed at ensuring the technological sovereignty of the country and developing its own infrastructure for working with big data and artificial intelligence.
For example, AI helps sort apples. Employees of the Scientific and Practical Center of the National Academy of Sciences of Belarus for Agricultural Mechanization, together with colleagues from the United Institute of Informatics Problems, have developed a conveyor for automatic sorting of apples. To do this, they created a database of fruits with defects with 6,000 photographs (it continues to expand). Instantly analyzing the photographs, AI records visible defects and diseases and distributes the products into categories.
One of the striking examples of the integration of advanced technologies in the agricultural sector is the Smouzh robotic transport platform. Specialists from the Scientific and Practical Center of the National Academy of Sciences of Belarus for Agricultural Mechanization and the United Institute of Informatics Problems of the National Academy of Sciences of Belarus have created a platform designed for the targeted application of chemical plant protection products.
Deep learning neural networks are used to program the platform to move along a given route. Daytime cameras are used as the main components of technical vision. The use of Lidar technologies, the so-called terrestrial laser scanning, for these purposes is also being studied.
At the BELAGRO-2025 exhibition, the UIIP NAS of Belarus presented another "digital" development in the field of agriculture: "A software package for predicting the occurrence of diseases of agricultural crops and supporting decision-making to reduce damage."
As the head of the laboratory of aerospace monitoring of the UIIP, candidate of technical sciences Sergey Kravtsov, said, this complex allows for early prediction of disease outbreaks and prompt response to them, and also reduces economic losses due to the accurate and timely use of protective equipment. All forecasting systems are based on meteorological data received daily from satellites, which are the basis for predicting the date of onset of diseases.
The National Academy of Sciences has developed and laid down approaches in which, taking into account a number of parameters, it is determined which protective equipment is used at the first, second and subsequent stages. The program also provides recommendations taking into account exactly those plant protection products that are available at a particular enterprise.
In general, as Sergey Kruglikov, Director General of the United Institute of Informatics Problems of the National Academy of Sciences of Belarus, particularly emphasizes, all projects are aimed at ensuring the technological sovereignty of the country and developing its own infrastructure for working with big data and artificial intelligence.