
MOSCOW, Jul 18– . BelSU scientists have developed a mobile application that can simulate the optimal scheme for planting different crops in a certain area. The program is able to assess the dynamics of carbon dioxide concentration and other parameters in the sown areas and choose the appropriate place and time for planting plants for maximum yield. The results of the study were presented at the SmartIndustryCon-2023 conference.
In agriculture, many factors influence the yield — meteorology, soil type, atmospheric composition, and so on. A large number of parameters and indicators of a probabilistic nature; the multi-stage process of growing and marketing products requires the use of modern digital technologies that adapt agricultural production to current changes in the natural and climatic nature and ensure stable productivity, environmental and food security, experts say.
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Scientists from Belgorod State University (BelGU) have developed a prototype of a mobile application with elements of augmented reality, which allows you to take into account many parameters, including the dynamics of the greenhouse effect, when planning sowing work and achieve consistently high yields. According to scientists, the developed technology makes it possible to optimize the cost of material and labor resources, reduce the negative impact on the environment.
The application allows you to simulate and visualize plant growth, suggests optimal planting zones, taking into account various parameters and variables: meteorological factors, the power and nature of emissions of pollutants into the atmosphere, air temperature, heat supply of the soil, concentration of carbon dioxide in the surface layer of the atmosphere, mineral nutrition of plants, etc.
Based on the data obtained, the algorithm builds hybrid intelligent systems and 3D models, determines cause-and-effect relationships and suggests optimal landing options, the developers said. jpg» media-type=»ar16x9″ data-crop-ratio=»0.5625″ data-crop-width=»600″ data-crop-height=»338″ data-source-sid=»not_rian_photo» class=»»/
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«< p>«The mobile application can visually assess the growth and development of agricultural plants in a given area. It can also visualize the spatial and temporal distribution of greenhouse gases. For proper operation, it needs a mobile phone camera and GPS,” said one of the authors of the technology, PhD student Dmitry Goncharov.
He added that the information necessary for the application to work on the stages of growth of each crop is presented in a database of 3D models. To model the growth and productivity of crops, the entered information is processed taking into account the relative parameters, as well as data on the dynamics of the concentration of gaseous pollutants from stationary and mobile sources in a particular area.
According to scientists, the algorithm generates a specific control action, selects the best planting and processing technologies under the available conditions. It also allows you to generate recommendations for choosing a crop rotation and a fertilizer application plan.
Data is visualized thanks to augmented reality technology, experts explained. A 3D model of plant growth and development is derived as a result of the influence of modeling parameters at each of the four stages of plant development.
“This is both a new technology and a new approach to presenting information in agricultural science and practice. The proposed concept offers a more advanced user interface for displaying information through a combination of control and visualization methods,” said Professor Olga Ivashchuk, Head of the Department of Information and Robotic Systems of BelSU .
She noted that a visual spatial representation of complex natural and technological processes will allow us to quickly fix problematic issues and form science-based management scenarios.
The work was supported by a grant from the Russian Science Foundation (project No. 22 -11-20016) «Development and research of an intelligent decision support system for the adaptation of agricultural areas in the context of the dynamics of the greenhouse effect».
BelSU is a member of the Priority-2030 state support program for universities in the Russian Federation. The study was carried out within the framework of the BelSU strategic project «University without Borders».

