Image processing method applied to intelligent diagnosis under high-density plant characteristics

• Main Authors: LIU ZEHUA, LI JIUHAO
• Format: Patent
• Language: Chinese; English
• Published: 20.08.2024
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; PHYSICS

The invention discloses an image processing method applied to intelligent diagnosis under high-density plant characteristics, and relates to the technical field of intelligent agriculture, and the method comprises the steps: S1, building a diagnosis sample data set, and carrying out the classification, marking and storage; s2, selecting a pre-training model based on a user demand; s3, calling the sample data set to carry out image processing to obtain feature blocks; s4, performing clustering analysis on the feature blocks, and calculating weights of the blocks; s5, training the pre-training model based on the feature blocks and the corresponding weights to obtain an expected model; and S7, obtaining a to-be-processed image, and processing the image to obtain a current feature block for importing an expected model for intelligent diagnosis. The method has the effect of reducing the accuracy of intelligent plant diagnosis in a high-density planting environment. 本发明公开了一种应用智能诊断的高密度植株特征下的图像处理方法，涉及智慧农业技术领域，其包括：S1、