Design and Realization of Grain Seed Quality Testing System Based on Particle Image Processing Technology

Abstract

How to quickly and accurately identify the quality of grain seed, grain type and other basic indicators and improve the efficiency of breeding quality, wheat production and quality in the work of selection or breeding have become a serious problem. The project developed the necessary software and hardware detection device platform, carried out research on the segmentation and counting algorithms of particle images for the system, and designed and implemented image processing techniques based on particle quality grain seed of the determination system. The result of the research has broad application prospects.

Autonomous Wheat Seed Type Classifier System

“…In [4] a system required for seed quality detection is developed using counting algorithms of particle images. Image processing techniques is used to determine the grain quality.…”