Researchers at Kaveri University in Siddipet district have developed an advanced AI-based seed germination evaluation system. This new system makes seed quality testing faster, more accurate, and less biased for crops like paddy, maize, and bajra. The project, titled “Automated Seed Germination and Variety Evaluation in Paddy, Maize and Bajra using a computer vision-based germination system,” combines AI, computer vision, and deep learning to replace slow, manual testing. The Vice-Chancellor, V. Praveen Rao, said the research is led by B. Koushik, a second-year B.Sc. (Hons.) agriculture student, with guidance from faculty members D. Shivani and A. Kavitha Reddy. Industry experts also support the project. The AI system tested 62 seed varieties—32 paddy, 15 maize, and 15 bajra—with an accuracy of 99%, university officials said. It produces automated germination reports and digital data sets that aid in clear tracking and decision-making for seed certification. The technology has earned international praise. The International Seed Testing Association (ISTA), based in Zurich, shortlisted it among the top 12 projects from over 280 entries worldwide. ISTA invited the university team to present their work at the ISTA Annual Meeting 2026 in Calgary, Canada, from June 22 to 25. ISTA will cover all official expenses, including travel and accommodation, for four delegates from the university.