Cropin AI Lab has announced the launch of ‘akṣara’, a purpose-built open-source Micro Language Model (µ-LM) for climate-smart agriculture. 

Click here to check out the model on Hugging Face.

The model aims to tackle the challenges faced by underserved farming communities in the Global South by providing contextual, factual, and actionable agriculture-specific information to agronomists, agri-scientists, and other agricultural stakeholders. 

The first version of akṣara will cover nine crops: Paddy, Wheat, Maize, Sorghum, Barley, Cotton, Sugarcane, Soybean, and Millet. Collectively, these account for more than half of the world’s food requirements and are the staple food for the population in the global south.​

This specialised model is not intended for generic use cases, but rather for addressing specific industry needs. It supports agricultural stakeholders, including developers and researchers, in creating inclusive, frugal, and scalable AI solutions for this highly unorganised sector.

By open-sourcing the model, the goal is to empower those in the agricultural industry and eventually expand the services to farmers in various languages.

“In an era where Large Language Models are reshaping jobs, businesses, and customer interactions, the spotlight is now on industry-specific models trained on niche and comprehensive domain data as THE NEXT BIG THING,” said Krishna Kumar, Founder & CEO, Cropin​.

Established in 2010, Cropin is a global leader in Agtech, offering the world’s first dedicated cloud platform for agriculture, known as Cropin Cloud. Cropin has collaborated with over 250 B2B clients and digitised 16 million acres of farmland, positively impacting the lives of over 7 million farmers.

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