A Monitoring And Evaluation Method For Comprehensive Evaluation Index Of Machine-Harvested Cotton Defoliation Effect And System Thereof

A monitoring and evaluation method for comprehensive evaluation index of machine-harvested cotton defoliation effect, wherein comprises the following steps:

• acquiring RGB images of machine-harvested cotton canopy;
• extracting the visible-light vegetation index features, color component features and texture features of the machine-harvested cotton canopy RGB images;
• inputting the visible-light vegetation index features, color component features and texture features into a trained machine-harvested cotton defoliation effect comprehensive evaluation model to output defoliation effect evaluation values, the trained comprehensive evaluation model of machine-harvested cotton defoliation effect is an extreme learning machine model based on particle swarm optimization algorithm through training with visible-light vegetation index features, color component features and texture features of the machine-harvested cotton canopy RGB images as input and the defoliation effect evaluation value as output, the extreme learning machine model comprising an input layer, a hidden layer and an output layer, and the particle swarm optimization algorithm provided for optimizing the weight values of the input layer and the bias values of the hidden layer,
• determining the harvesting timing of machine-harvested cotton based on the defoliation effect evaluation value.