Abstract

The analysis of technical operations associated with growing vegetables in glasshouses shows that it is possible to reduce labor inputs and improve the efficiency of indoor growing structures through a specific set of technical solutions. The facilitation of the fundamental improvement of the glasshouse vegetable production technology requires stationary transportation systems and robot hardware. The glasshouses can be classified according to their functional and structural properties: intent, seasonality, growing practices, the type of transparent cover, the type of frame, and heating method. In this case, detailed thermophysical models should not be used. The lack of properly rationalized mathematical models for heated glasshouses holds back their development and improvement. When creating such models, it is necessary to consider heat and mass transfer processes taking place in the glasshouse, the distribution of their parameters, and the accidentality of external impacts. Additional problems arise because the requirements set for models rarely comply with the research goals set or do not reflect the conditions, under which it is used. The suggested balanced dynamic models allow for the extensive use of computers to research heat consumption patterns in glasshouses and synthesize temperature regulators. The mathematic methods for such calculations comprise vector-matrix algebra, for the respective software is widely available on various computers. Growing plants indoors during winters and springs requires the maintenance of climatic factors influencing the growth and development of plants. Due to this, automated control of such factors in compliance with agricultural practices receives great importance. To maintain temperatures automatically in hotbeds, two-position control systems are used. Large glasshouse businesses are currently introducing intensive vegetable growing technologies, and automated workflow control systems based on micro- and minicomputers. Key production activities include the watering and mineral fertilizer dressing of plants. These processes must be automated because they require large labor inputs during the preparation of the solution, the maintenance of the required content proportions, timely feed, and even distribution across all of the glasshouse under various external impacts.

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