Intello Labs: Non-Destructive Digital Commodity Grading. Issue 1 (June 2021)

• Record Type: Journal Article
• Authors: Ghosh, Arunava; Sengupta, Tuhin
• Is Part Of: Emerging economies cases journal. Volume 3:Issue 1(2021)
• Page Start: 51
• Page End: 57
• Publication Date: 2021-06
• Subjects: Manual grading -- artificial intelligence -- cardamom -- agri-tech -- sustainable agricultural practices -- farm productivity -- farmers; Industrial management -- India -- Case studies -- Periodicals; Industrial management -- Developing countries -- Case studies -- Periodicals; India -- Economic conditions -- Case studies -- Periodicals; Developing countries -- Economic conditions -- Case studies -- Periodicals; Periodicals; 330.954
• DOI: 10.1177/25166042211031372
• Languages: English
• ISSNs: 2516-6042

Abstract

This case illustrates Intello Labs, a leading agri-tech company, operating out of Gurgaon. As an agri-tech company, Intello Labs is trying to create an artificial intelligence (AI)-based solution model for its clients. The case dives deep into the issues of degrading farm productivity being faced by Kerala Cardamom Processing and Marketing Company (KCPMC), a client of Intello Labs. The case stands out as a means for understanding the application of the AI-based solutions being offered by Intello Labs to solve the degrading farm productivity issue of KCPMC. It addresses the concerns of the current agricultural-based businesses which mostly depend on manual commodity grading.