Convolutional neural network soil available phosphorus analysis model construction system and method

The invention relates to the technical field of remote sensing technology and variable rate fertilization, in particular to a convolutional neural network soil available phosphorus analysis model construction system and method. The system comprises an original data arrangement module, a wave band transformation module, a sensitivity analysis module, a transformation wave band analysis module, a parameter input module, a convolutional neural network construction module, a model training module, a precision evaluation module, a coarse error elimination module, a model verification module and a model storage module, a model retraining Module and an outcome graph output module which are operated in a flow mode. According to the method, accurate and comprehensive fertilization can be guided through a soil available phosphorus analysis model based on remote sensing and a convolutional neural network, so that the problems that the cost input is too large and the environment is polluted due to excessive fertilization