AgNext & Tea Research Association set up AI excellence centre in Jorhat

24 March 2021 | News

This excellence centre will focus on innovation, improvement & enhancement of the tea quality Image Credit: Twitter Image Credit: Twitter

Mohali based AgTech startup, AgNext Technologies in collaboration with the Tea Research Association has successfully set up an AI Excellence Centre at Tea Research Institute, Jorhat.

In this collaborative effort, AgNext Technologies will fully work on solving the quality quotient of the tea industry with artificial intelligence, IoT, and data-driven technologies. This excellence centre will focus on innovation, improvement & enhancement of the tea quality across the supply chain & build sustainability at the core. 

The AI Excellence Centre is formed to research the blend of artificial intelligence, algorithms, automation, and big data/analytics to build cutting-edge business solutions to drive the tea industry forward in global markets.

This centre will also be a go-to destination for Academia and Industry for technical know-how, knowledge, development of unique technologies, and application areas.

At the AI Excellence centre, AgNext will work on developing the solution for multiple level quality problems from garden-to-cup. AgNext will focus on digitizing the quality across all the midstream processes from procurement to final processed tea through advanced technologies thus, aiming to reduce operational & quality losses by bringing more transparency, standardization. 

Taranjeet Singh Bhamra, CEO and Founder of AgNext said, “We are building strong relations with the industry to understand the grass-root problems & build solutions for them. By partnering with TRA, we are able to bring the latest innovations, build a more technologically enabled, future proof method to meet the goals of industry. We are expecting incredible changes ahead with the growing ubiquity and power of new technologies which blend artificial intelligence, algorithms, automation and data sciences to drive business forward.”


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