The application of internal grading system technologies for agricultural products – Review

► This paper reviews the concept of the machine vision based on the internal quality inspection. ► Describe the agriculture crop internal feature and how can be used as crop quality indicator. ► Review and summarize the methods and techniques of signal processing based on the different types of sensors. Quality assessment of agricultural products has been the subject of numerous reviews; however, not many papers address internal visualization as a means of quality grading. This paper reviews established as well as emerging visualization techniques utilized in the quality assessment of food products. In this discourse, the authors set out to underscore some of the most novel signal processing techniques employed in the non-destructive grading of agricultural products by way of an automated quality verification system. Such systems utilize advanced engineering principles with imaging, signal processing as well as color differentiation to accomplish the grading task. The materials presented will be useful to agricultural engineers, manufacturing engineers, food engineers and any other researchers in the food and agriculture industries.