Strawberry greenhouse environment parameter intelligent monitoring system based on GRNN neural network
A neural network and environmental parameter technology, applied in the field of agricultural greenhouse automation equipment, can solve problems such as nonlinearity, large lag and complex dynamic changes, which affect the effective management of strawberry greenhouse production, and achieve the effect of reducing mutual interference and non-stationarity
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[0028] combined with Figure 1-6 , further describe the technical solution of the present invention:
[0029] 1. Design of the overall function of the system
[0030] The invention realizes the detection of the environmental factor parameters of the strawberry greenhouse and the intelligent prediction of the strawberry output in the greenhouse. The system is composed of two parts: a strawberry greenhouse environmental parameter acquisition platform based on the CAN bus and an intelligent prediction system for the strawberry output in the greenhouse. The strawberry greenhouse environmental parameter acquisition platform based on CAN bus includes the detection node 1 of the strawberry greenhouse environmental parameters and the control node 2 for adjusting the strawberry greenhouse environmental parameters. The measurement and control network is constructed by CAN bus to realize the detection node 1, control node 2 and on-site monitoring On-site communication between terminals ...
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