The invention relates to the technical field of smart
agriculture, and discloses a spectrum feed-forward
greenhouse control system based on physiological vector Pareto optimization, comprising an intelligent sensing module for collecting
crop pulse modulation
fluorescence parameters, spectrum fingerprints and environmental parameters; the model decision-making module is coupled with the three
algorithm units, the long-period unit is used for outputting an optimal allowable interval of environment regulation and control based on a
crop model, the short-period unit is used for predicting physiological risks and outputting dynamic regulation weights based on spectral feedforward, and the real-time unit is used for constructing physiological vectors composed of actual photochemical
quantum yield and non-photochemical
quenching; executing Pareto optimization under interval constraint and weight guidance, balancing
light energy utilization efficiency and
physiological stress, and generating an accurate control instruction; the intelligent execution module regulates and controls the environment; and the online calibration module is used for recording data to update the
crop model and the prediction model online. According to the method, long-term energy efficiency planning and instantaneous physiological optimization are coordinated, and the precision, prospect and
adaptive capacity of
greenhouse control are improved.