The invention provides a multi-target
sunlight greenhouse ventilation decision-making method and device,
electronic equipment and a storage medium. The multi-target
sunlight greenhouse ventilation decision-making method comprises the steps that real-time environment information inside and outside a
greenhouse is obtained, and greenhouse ventilation feature vectors are determined; generating a preliminary ventilation
decision strategy according to the greenhouse ventilation
feature vector; performing multi-objective optimization on the preliminary ventilation
decision strategy; and dynamically adjusting an optimal ventilation
decision strategy to automatically adapt to meteorological changes inside and outside the greenhouse and growth stages of crops. According to the multi-target
sunlight greenhouse ventilation decision-making method provided by the invention, technologies such as a multi-
sensor fusion technology, a multi-mode variational auto-
encoder algorithm, a soft behavior
cloning algorithm, a meta-learning technology, a multi-target
particle swarm optimization algorithm, a multi-target co-evolution algorithm, a multi-agent
system and a transfer learning technology of
reinforcement learning are comprehensively utilized; the greenhouse ventilation decision-making efficiency can be effectively improved, greenhouse ventilation
energy consumption is reduced, and
intelligent control over the temperature in the greenhouse and the growth quality of crops are improved.