Google is expanding its AI-powered agriculture models — first built and tested in India — to other parts of the Asia-Pacific region. The company announced that its Agricultural Landscape Understanding (ALU) and Agricultural Monitoring & Event Detection (AMED) APIs will now be available to trusted testers in Malaysia, Vietnam, Indonesia, and Japan. The move comes just months after their India-first release, marking a major step in Google’s efforts to make agriculture more data-driven and sustainable across diverse geographies.
According to Google, the expansion is part of its larger mission to use AI for solving real-world challenges. The company said the success of its AI tools in India has shown how technology can strengthen agricultural resilience and help farmers make better, faster decisions. “Solutions that address India’s most pressing challenges can also solve for the world,” Google said in its announcement, adding that the Asia-Pacific region’s similar climatic and farming patterns make it a natural next step.
The ALU and AMED APIs rely on remote sensing and machine learning to provide insights about crops, soil, and weather. The ALU API helps identify fields, vegetation, and water bodies, while the AMED API monitors crop cycles — including sowing and harvest timelines — and detects important events like floods or droughts. The AMED system also refreshes data roughly every 15 days, giving farmers and policymakers near real-time visibility into changing agricultural conditions.
In India, Google’s agriculture models are already powering a range of projects. The government’s Krishi DSS platform, developed by Amnex for the Department of Agriculture and Farmer Welfare, uses the ALU and AMED APIs for crop health monitoring, irrigation advice, and climate impact assessments. Vassar Labs , which serves over 10 million farmers through various state programs, has integrated the APIs into its fieldWISE platform to deliver localized advisories on irrigation, pest control, and fertilizer use.
Meanwhile, Sugee.io, a financial technology firm, is using the ALU API to improve loan processing for farmers by verifying land and crop data. It also plans to adopt AMED insights for better credit risk assessment. Additionally, the Council on Energy, Environment and Water (CEEW) is leveraging the APIs to identify areas best suited for crop diversification, helping farmers shift toward more climate-friendly and profitable crops.
By expanding access to these APIs across Asia-Pacific, Google aims to enable similar innovation and collaboration in countries facing comparable agricultural and climate challenges. The company said it hopes developers, researchers, and agri-businesses in the region will use the models to build new applications that enhance food security, sustainability, and farmer livelihoods.
Google’s India-first approach, now extending to neighboring countries, underscores how localized AI research can deliver global impact — one farm, and one dataset, at a time.
According to Google, the expansion is part of its larger mission to use AI for solving real-world challenges. The company said the success of its AI tools in India has shown how technology can strengthen agricultural resilience and help farmers make better, faster decisions. “Solutions that address India’s most pressing challenges can also solve for the world,” Google said in its announcement, adding that the Asia-Pacific region’s similar climatic and farming patterns make it a natural next step.
The ALU and AMED APIs rely on remote sensing and machine learning to provide insights about crops, soil, and weather. The ALU API helps identify fields, vegetation, and water bodies, while the AMED API monitors crop cycles — including sowing and harvest timelines — and detects important events like floods or droughts. The AMED system also refreshes data roughly every 15 days, giving farmers and policymakers near real-time visibility into changing agricultural conditions.
In India, Google’s agriculture models are already powering a range of projects. The government’s Krishi DSS platform, developed by Amnex for the Department of Agriculture and Farmer Welfare, uses the ALU and AMED APIs for crop health monitoring, irrigation advice, and climate impact assessments. Vassar Labs , which serves over 10 million farmers through various state programs, has integrated the APIs into its fieldWISE platform to deliver localized advisories on irrigation, pest control, and fertilizer use.
Meanwhile, Sugee.io, a financial technology firm, is using the ALU API to improve loan processing for farmers by verifying land and crop data. It also plans to adopt AMED insights for better credit risk assessment. Additionally, the Council on Energy, Environment and Water (CEEW) is leveraging the APIs to identify areas best suited for crop diversification, helping farmers shift toward more climate-friendly and profitable crops.
By expanding access to these APIs across Asia-Pacific, Google aims to enable similar innovation and collaboration in countries facing comparable agricultural and climate challenges. The company said it hopes developers, researchers, and agri-businesses in the region will use the models to build new applications that enhance food security, sustainability, and farmer livelihoods.
Google’s India-first approach, now extending to neighboring countries, underscores how localized AI research can deliver global impact — one farm, and one dataset, at a time.
You may also like
I travelled on the world's best metro system - these are the 3 things London's Tube lacks
We tried to win fourth Rajya Sabha seat but it could not happen: National Conference leader Shammi Oberoi
CBI cordinates return of fugitive linked to Lawrence Bishnoi gang from US through interpol channels
Downton Abbey star's 'mesmerising' period drama that's perfect for Jane Austen fans
Uttarakhand CM approves funds for infra, housing projects
