Abstract: This project aims to assess the quality of various rice samples by processing, enhancing, and analyzing their digital images in the spatial domain. The images are subjected to techniques such as image reduction, enhancement, and increment, as well as object recognition to determine the size, color, and overall quality of the grains of rice. Traditionally, grain quality evaluation has been performed manually, but this approach is relative, time-consuming, and may yield inconsistent results, making it costly. Using image processing and edge detection algorithms, the grain size and shape are evaluated by identifying the boundaries and endpoints of each grain. Additionally, the length and breadth of rice grains are measured. The use of image processing greatly reduces the time required for evaluation.

Keywords - Grading, Rice grain, Quality, Image processing, grain evaluation

PDF | DOI: 10.17148/IJARCCE.2023.12542

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