• S. VARSHA REDDY
• DR. SREEDHAR BHUKYA

Nowadays, rice has become very important food in our country. Rice is a staple and cheap food in our country. 3/4th of the population depends on the rice. Most of the people are suffering from starvation due to insufficient supply of rice. This is primarily due to rice damage, which is primarily caused by the introduction of weeds and off-types into the crop. This effects the price and quality of the product. Inspection of rice is a very difficult task for the farmers as it ensures quality of the product. Recent approaches have been used some of the techniques in order to ensure its quality. Some of approaches utilize appearance-based features extracted from RGB and some approaches utilize spectral features from hyper spectral imaging system. It takes labor- intensive and time-consuming. In this project, a method is done to automatically screen and classify the rice seeds by the combination of spatial features and spectral features extracted from RGB and HSI system.

Authenticate, credential security, public cloud availability, key is generated are some of the terms used in this paper.

"Rice seeds classification using RF classifier", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.c279-c286, June-2022, Available :http://www.jetir.org/papers/JETIR2206235.pdf

"Rice seeds classification using RF classifier", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. ppc279-c286, June-2022, Available at : http://www.jetir.org/papers/JETIR2206235.pdf