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 software and hardware complex that can be used to study the effects of the greenhouse effect on plant growth and development. This complex supports automated plant cultivation with the ability to recreate the required growth parameters, such as: meteorological; soil; climatic. The paper proposes software that can be used for the automated accumulation of growth parameters, images for further digital phenotyping and the study of cultural elements. The formed data banks can be used for training/retraining convolutional neural networks to visualize plant growth and development under current/forecast growing conditions. This is necessary for the formation of scientifically sound decisions on the formation of agrotechnical plans for growing crops in real conditions and ensuring high yields and economic benefits for crop production complexes.