DEVELOPMENT OF A PROTOTYPE OF A SOFTWARE AND HARDWARE COMPLEX FOR STUDYING THE IMPACT OF THE DYNAMICS OF THE GREENHOUSE EFFECT ON THE GROWTH AND DEVELOPMENT OF AGRICULTURAL CROPS

Abstract

The article discusses the development of a prototype of a specialized scientific hardware and software complex that can be used to study the impact of the greenhouse effect on the growth and development of agricultural plants. This complex supports automated cultivation with the ability to reproduce the required growth parameters, such as meteorological, soil, and climatic conditions. The proposed software enables automated accumulation of environmental parameters, as well as image collection for digital phenotyping and analysis of morphological, physiological, and biochemical characteristics of plants. The generated databases are intended for training and retraining convolutional neural networks, which ensures high-precision visualization of crop growth and development under current and forecasted cultivation conditions. The results of the study can be applied to the formation of scientifically grounded agrotechnical plans, optimization of cultivation regimes, yield forecasting, and modeling of adaptation scenarios considering climatic changes and anthropogenic impacts. The practical significance of the complex lies in ensuring the sustainable functioning of agricultural systems, reducing climate-related risks, increasing ecological resilience, strengthening long-term food security, improving economic efficiency, and implementing innovative digital solutions in modern crop production.