Cloud Based Rice Classification Application Development Using Deep Neural Networks

Rice is one of Pakistan’s fastest-growing crops, with nearly 60% exported annually. However, manual classification leads to delays, errors, and fraud, affecting global trust. To address this, we developed a cloud-based rice classification system using deep learning to analyze features like shape, size, color, and texture. It offers faster, more accurate results than traditional methods. Developed with Alkaram Rice Engineering and CAID, the solution meets industry standards and improves Pakistan’s competitiveness in international rice markets.

Project Poster