Quality Inspection Method of Agricultural Products Based on Image Processing

Farmers should provide high-quality agricultural products and companies receive products, which is the purpose pursuit of business model "companies plus farmers". In order to increase stability cooperation mode between farmers, it necessary detect quality accurately, objectively efficiently. Therefore, this article studies inspection method based on image processing. Firstly, traditional threshold calculation function are improved obtain more ideal denoising effect images. Aiming at problem that processing cannot fine-grained feature information objects, a multi-level dependence extraction network constructed, structure working principle introduced in detail. Experimental results verify effectiveness proposed algorithm for product inspection.