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. Google is expanding its AI-powered agriculture models — first built and tested in India — to other parts of the Asia-Pacific region. 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.
The expansion is part of its larger mission to use AI for solving real-world challenges, according to Google. 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 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.
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.
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.