Innovative deep learning technology greatly improves the selection rate of gray mold and fusarium wilt;
Detect internal defects of raw materials and identify high-density foreign objects such as fine sand, glass, ceramics, and snail shells;
Accurately remove impurities such as moldy grains, burnt grains, insect-eaten grains, and soil blocks, and easily obtain high-quality corn grains;
Large output, the maximum output can reach 50 t/h.