The research of greenhouse temperature control based on fusion technology

A method for maximize profit of greenhouse temperature control was proposed. Take lettuce planting as an example, a non-linear model was set up for forecasting plant growth rate by neural network, and a market price model was established for forecasting plant market price by Polynomial fitting function. In terms of the above two models and the cost of temperature adjustment based on energy balance, the optimal set-point of temperature would be found out. With the actual situation and the establishment of three models, a multi-information fusion was achieved, which provided a theory for the decision-making of greenhouse temperature control system.