Recognition of Tea Diseases under Natural Background Based on Particle Swarm Optimization Algorithm Optimized Support Vector Machine

In order to detect tea diseases quickly and meet the needs of practical production, a method was proposed for the classification and identification of tea diseases under natural conditions. According to the characteristic factors, the foreground main blade region was segmented, and then an improved image segmentation algorithm is used to segment each color component. The $\pmb{H}, \pmb{a}^{*},$ an...