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Google on Thursday introduced a new Agricultural Monitoring and Event Detection (AMED) API. The innovation aims to make AI models more responsive to India's linguistic, cultural, and environmental diversity.

The AMED API will offer granular information on crop types, field sizes, and key agricultural dates such as sowing and harvesting across India. It will also provide a three-year historical overview of farming activity on each field, enabling stakeholders to design targeted solutions that improve productivity and climate resilience.

“With AI research -- and especially with AMED building on the foundation of ALU -- we're working on accelerating crucial shifts, transforming broad insights into granular, real-time data," said Alok Talekar, Agriculture and Sustainability Research Lead at Google DeepMind.

In parallel, Google has announced a collaboration with the Indian Institute of Technology (IIT) Kharagpur to build localised datasets reflecting India’s cultural and linguistic diversity. This partnership is part of Google's broader Amplify Initiative, which aims to improve Large Language Models by incorporating underrepresented languages, dialects, and cultural nuances into AI training data.

“We’re thrilled to collaborate with Google on the Amplify Initiative and open a new chapter in global AI development,” said Dr Mainack Mandal, Assistant Professor at IIT Kharagpur.

Highlighting the company’s commitment to meaningful AI research, Dr Manish Gupta, Senior Director for India and APAC at Google DeepMind, said, “We have continued advancing fundamental research that addresses some of the most pressing challenges facing humanity.”

With these efforts, Google aims to empower farmers, boost agricultural innovation, and strengthen climate resilience in India through more inclusive and context-aware AI solutions.

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