The Tobacco Board of India, Guntur, has partnered with Constems AI Pvt. Ltd., a deep-tech Vision AI company, to introduce AI-powered grading of Flue-Cured Virginia (FCV) tobacco bales across a few auction platforms in Andhra Pradesh. The collaboration uses computer vision and deep learning to make tobacco grading faster, more consistent and more transparent. Currently, FCV tobacco grading is done manually by qualified classifiers, a process dependent on human judgement and susceptible to subjectivity and inconsistency. Since the grade assigned to a tobacco bale directly influences its market value, a standardized and technology-supported grading framework has become increasingly important. The implementation is expected to create a uniform AI-assisted grading system for farmers, buyers, exporters, regulators and the wider tobacco industry. Constems AI’s CAInatics, its proprietary Vision AI engine, works with 3N, its proprietary Large Vision Modal Model (LVMM), to analyse images of tobacco bales and generate grading output, delivered instantly on the grader’s mobile application. The solution provides individual parameter scores and an overall combined grade based on key quality attributes such as colour, texture/grain and visible leaf condition. For farmers, grading directly shapes value realization, and a more consistent and transparent system can strengthen confidence. For buyers and auction officials, it can improve traceability, reduce variation and support faster assessment across large volumes. Amit Srivastava, Co-Founder and CTO, Constems AI, said the collaboration brings Vision AI into