• Vrushali D. Thakare
• A.V.Malviya

Rice is the most favorable and most consuming food for human being in all over the world and researchers are working to improve the quality of rice. Quality of grains is an important requirements. Seed purity is a crucial seed quality parameter in the Indian rice seed standard. The use of high quality cultivated rice seed, free of any foreign seeds, is the prerequisite to sustaining high yield in rice production. The presence of foreign seeds such as weedy rice in the cultivated rice seeds used by the farmers can adversely affect growth and yield as it competes for space and nutrients with the cultivated rice varieties in the field. The current cleaning processes that rely mostly on the difference in physical traits do not guarantee effective separation of weedy rice seeds from the lots. Seed bags found to contain more than 10 weed seeds upon inspection by the enforcing agency will not be approved for distribution to farmers. There are different type of techniques that use for testing the quality of rice grains , like using machine vision and image processing. Image processing nowadays plays a vital role in automation in several domains like medical science, remote sensing, agriculture, environmental science, special science etc.

Quality, Image Processing, Rice Grains.

"“ RICE GRAIN GRADE CLASSIFICATION USING IMAGE PROCESSING ”", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.56-60, April-2019, Available :http://www.jetir.org/papers/JETIR1904909.pdf

"“ RICE GRAIN GRADE CLASSIFICATION USING IMAGE PROCESSING ”", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp56-60, April-2019, Available at : http://www.jetir.org/papers/JETIR1904909.pdf