Crop control model driven intelligent greenhouse system control method
A model-driven, greenhouse technology, used in control/regulation systems, non-electric variable control, and simultaneous control of multiple variables, etc., can solve the problem of ignoring the interaction of environmental factors, difficult to ensure the control effect of the greenhouse control system, and not considering other factors. Changes and influences, etc., to achieve the effect of strong theoretical and difficult to promote and disseminate tacit knowledge
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[0034] (1) Determine the quantitative model of interaction
[0035] (1) Determine the temperature during tomato growth. Different growth and development stages of tomato have different temperature requirements.
[0036] Seed germination stage: determine the optimum temperature is 25°C to 30°C, when the temperature is lower than about 12°C (biological starting point temperature) or exceeds 40°C (biological upper limit temperature), it will be difficult to germinate;
[0037] Seedling stage: determine that the suitable temperature during the day is 20°C-25°C, and the suitable temperature at night is 10°C-15°C. When the temperature reaches 40°C (biological upper limit temperature), stop growing. When the temperature drops below 10°C, the growth is slow, and at 5°C (biological starting temperature), the plant stops growing;
[0038] Flowering period: Make sure that the suitable temperature during the day is 20°C-26°C, and the suitable temperature at night is 15°C-20°C. When the ...
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