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Study of Non-Destructive Measurement on Crop Nitrogen Nutrition Based on Mutual Information and PSO Algorithm

The non-destructive, rapid and accurate monitoring of crop nitrogen nutrition is of significance in estimating crop growth parameters, promoting the research and application of precision farming and digital agriculture. In this paper, the mutual information based on multi-source image and spectral matching technology was studied, which focused on the use of the mutual information criteria for different sensor resolution images while using multi-resource sensing images from different sensors. The integrated method of mutual information and improved particle swarm optimization algorithm was approved to be applicable in the complicated image matching. Compared to the traditional method, this integrated method could enhance the matching efficiency.