Year: 2025
Type: article
Abstract: Rice grain Classification plays a vital role in agricultural industry. Rice is a staple food consumed Globally. Rice grain Classification is necessary to maintain quality, food safety and consumer satisfaction. Traditional methods which are employed for classification and identification of rice grains are time consuming and may lead to errors. The proposed system uses image processing techniques to identify and segregate rice grains into different types. The categorization and grading of rice grains is done on the basis of size, colour and texture. Various image processing methods such as image preprocessing, edge detection are employed for the analysis and identification of rice grains. This paper deals with three multiple kinds of rice grains that is Basmati, HMT and Rajgira. The system uses Pycharm an integrated Development Environment (IDE) designed for python development. The system has inherent applications in food industry ensuring effective classification of rice grains.
Authors: Srishti Dubey, Ritika Mukherjee, S. Yashaswi, Dr. Naveen Kumar Dewangan
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
Open Access status: diamond
OpenAlex ID: W4410464348