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This survey paper explores recent advancements in the application of image processing and machine vision systems for automating the grading of rice, a crucial process for improving agricultural productivity in India, where rice is a staple food for approximately 65% of the population.With over 40,000 rice varieties grown worldwide, ensuring food quality has become a critical concern for public health.Analyzing the grades and quality of rice in the market can be a laborious task for individuals.Typically, the assessment of rice varieties and their quality relies on visual inspection by food quality managers, whose decision-making capabilities may be influenced by external factors.This paper discusses the implementation of image processing techniques to automate the grading process, mitigating the limitations of manual assessment.It reviews various procedures for determining the percentage and quality of rice grains based on their size.
A Sat, study studied this question.