An overview of the current situation and future development direction of grain detection: taking computer vision combined with deep learning

Abstract

Grain quality is one of the important issues that governments, enterprises and consumers pay common attention to. In the process of grain harvesting, storage and processing, it is necessary to strictly control the quality of grain. Traditional grain quality evaluation by visual inspection is challenging in terms of speed and accuracy. Modern industry is gradually using computer vision technology combined with deep learning as the best choice for grain quality detection. In this paper, computer vision and deep learning are briefly introduced, and their characteristics and applications in grain processing are introduced.