Automation of growing crops in a stationary compact greenhouse complex with a controlled microclimate based on a hydroponic system

Automation processes are currently being implemented in agriculture. Solutions in the field of agricultural automation and smart agriculture can reduce time expenditure and cost of crop production and lessen the impact of the human factor, i.e. mistakes that can lead to the death of crops and cause significant damage to the enterprise. This article deals with the issue of automation and modeling of technological processes of growing crops in stationary compact greenhouse complexes with a controlled microclimate based on a hydroponic system. A diagram and a model of the behavior of such complex is presented in the article. The complex helps to perform cyclic cultivation by periodic irrigation with a nutrient solution cleaned with a biofilter. To model the behavior of a mini-greenhouse, UML state diagrams were used. The problem of evaluating the performance of such modules and recording disruptions of cultivation process drawing on the collected data was considered. Machine learning methods were employed to estimate and predict climatic parameters in the greenhouse. The application of these methods allows performing proactive control of technological processes in the greenhouse, ensure strict adherence to production regulations and rational use of resources. Further research involves creating a method for proactive control of compliance with technological processes based on the formal models of these processes.

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