Design of a Crop Disease Identification System Based on LabVIEW Machine Vision

A crop disease detection method suitable for modern agricultural greenhouses is proposed in this paper. Based on the principle of machine vision detection technology and LabVIEW software program, the disease recognition and detection on the surface of potted crops can be quickly achieved. The system first preprocesses the image, and through processes such as system calibration and image correction, grayscale histogram analysis, threshold segmentation, particle analysis and processing, feature analysis, and pattern matching, it achieves rapid recognition of crop diseases. When performing threshold segmentation on images, this system introduces a background correction algorithm to preprocess the images. The image recognition method for crop leaf diseases studied in this article makes monitoring and formulating pest control measures more effective.