Intello实验室:非破坏性数字商品分级

Arunava Ghosh, T. Sengupta
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引用次数: 1

摘要

这个案例说明了Intello实验室,一家领先的农业技术公司,在古尔冈运营。作为一家农业科技公司,Intello Labs正试图为其客户创建一个基于人工智能(AI)的解决方案模型。该案件深入探讨了Intello实验室的客户——喀拉拉邦豆蔻加工和销售公司(KCPMC)所面临的农业生产率下降的问题。该案例作为理解Intello Labs提供的基于人工智能的解决方案在解决KCPMC农场生产力下降问题中的应用的一种手段而脱颖而出。它解决了目前以农业为基础的企业的担忧,这些企业主要依赖于手工商品分级。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Intello Labs: Non-Destructive Digital Commodity Grading
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.
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