
Tobacco Board teams up with Constems AI to deploy computer vision and deep learning for FCV tobacco grading at Andhra auction platforms. Results appear instantly on a grader's mobile app, removing subjectivity from bale pricing.
The Tobacco Board, an arm of the Union Ministry of Commerce and Industry, has partnered with Constems AI Private Ltd to roll out AI-powered grading of Flue-Cured Virginia (FCV) tobacco bales across a set of auction platforms in Andhra Pradesh.
The goal is straightforward. FCV tobacco grading has always been a manual job handled by qualified classifiers. That system rests on domain expertise, but it also depends on human judgment. Inconsistency creeps in. Subjectivity affects the outcome. Since the grade assigned to a bale directly determines its market value, the margin for error matters.
Amit Srivastava, Co-Founder and CTO of Constems AI, said the collaboration uses computer vision and deep learning to make grading faster, more consistent and more transparent. The results appear instantly on a grader's mobile application, which should push decision-making speed at the auction platform.
Constems AI is deploying two tools: CAInatics, a Vision AI engine, and 3N, its Large Vision Modal Model (LVMM). Both analyse images of tobacco bales and return a grade.
The payoff for farmers is an objective assessment of their produce. For buyers and auction officials, the system promises better traceability, reduced variation, and faster handling of large volumes.
The shift is part of a wider move across Indian agriculture to replace manual inspection with machine vision. The Andhra Pradesh pilot will test whether the technology can match the judgment of classifiers who have spent decades reading tobacco leaf quality.
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