Rice Grain Quality Analysis Using Deep Learning Technique

The objective of Rice Grain Quality Analysis Using Deep Learning Technique is to develop a machine learning model that can accurately classify and grade the quality of rice grains based on their appearance and texture using deep learning techniques. This technology can be used in various applications such as food safety, quality control, and food processing.