Feature Based Qualitative Classification of Rice Varieties: A Review

Komal, Ganesh Kumar Sethi, Rajesh Kumar Bawa
2020 Journal of scientific research  
Rice is regarded as main staple food for around 80% of the Southeast Asia population alone. As most nations achieving selfcompetency in rice production, better quality rice is of utmost priority of consumer. It is very tedious work for consumers to analyze the good quality and rice grading in the market. Rice grains' quality determination is judged visually by human inspectors following manual process which is neither objective in nature nor effective due to non-reliability of results occurring
more » ... as a result of inexperienced inspectors or human errors. So need for an automatic rice quality grading system arises which can eliminate the inadequacies of manual quality grading process. In this paper, Different techniques of machine learning, deep learning and image processing considering morphological, color, shape, textural as well as other features of rice are analyzed to review the current research scenario in automatic quality grading process. Various procedures and methods are considered for the review purpose to analyze the quality of rice grains on the basis of different features of rice.
doi:10.37398/jsr.2020.640242 fatcat:ukqojvqiovciznx3kp3ijmjcbe