Crop monitoring method, system and device based on machine vision

The invention relates to the field of agriculture, and discloses a crop monitoring method, system and device based on machine vision, and the method comprises the following steps: constructing a database of normal crops in different seasons; training the model; performing coarse identification through a main body vision module in the vision modules; the robot is used for accurately identifying the crop physiological features and the sensor module is used for acquiring the environmental data; the central calculation module compares information transmitted by the visual module with a database of the central calculation module, judges whether the crops are abnormal or not, calculates the abnormal level, and obtains the amount of water, the amount of chemical fertilizer and the amount of herbicide needing to be irrigated by the crops after data processing. The system comprises a patrol module, a sensor module, a processing module, a vision module, a communication module and a central calculation module. According