Google logo at the company's Bengaluru campus in Mahadevpura.
Credit: DH Photo/KVN Rohit
Due to global warming-induced erratic weather conditions worldwide, it has become very challenging for farmers to increase the harvest of their crops. This has become a huge problem for governments worldwide to increase food production to meet the needs of the growing global population.
Technology can play a crucial role in understanding the soil quality and weather to help farmers grow crops on time and get a good yield.
With that in mind, Google's DeepMind division launched the Agricultural Landscape Understanding (ALU) Research API (Application Programming Interface) tool and Agricultural Monitoring & Event Detection (AMED) in 2024 and 2025, respectively.
The ALU API can identify fields, water bodies, and vegetation boundaries, while the AMED API will deliver critical field-level insights on the most cultivated crops and their sowing and harvest timelines at individual field levels.
With the state-of-the-art technologies such as Generative AI, Machine Learning (ML), multi-layered global climate data, a global crop knowledge graph, earth observation data and advanced crop models, ALU and AMED APIs can help farmers significantly increase the crop production in an eco-friendly, sustainable way.
After India, Google expands Gen AI-powered agriculture applications to global regions.
Credit: Google
Now, Google is expanding the ALU Research and AMED APIs to the Asia Pacific regions, including Japan, Vietnam, Malaysia and Indonesia.
"We are expanding our freely available agricultural model outputs as APIs - Agricultural Landscape Understanding (ALU) API and Agricultural Monitoring & Event Detection (AMED) API - which were first built to strengthen India’s agricultural resilience, to now also support agricultural sustainability across the Asia-Pacific region," said Alok Talekar, Lead, Agriculture and Sustainability Research, Google DeepMind.
Google has also invited local agri-sector entrepreneurs, researchers, and software developers to work on scalable solutions that can accelerate regional food resilience and uplift farmer livelihoods.
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