Quality Evaluation of Corn/Maize

Abstract Corn plays an important role in people's daily life. Therefore it is very important to detect corn quality. However, traditional quality evaluation methods are tedious, time-consuming, and destructive. Computer vision as a rapid and nondestructive technique has been widely used for corn quality detection and evaluation. This chapter describes the latest applications of corn quality detection based on computer vision, including breakage and cracks detection, quality classification, toxins detection, etc. In addition, emerging imaging techniques such as hyperspectral imaging, which infuses the merits of computer vision and traditional spectroscopy, has the potential to overcome the difficulties of computer vision in terms of corn quality evaluation. Finally, future trends of computer vision on corn quality detection have also been proposed.