By using Google’s ALU model and Gemini, we can now measure adoption, water outcomes, and methane emission reductions. This data helps farmers adopt climate-resilient techniques while enabling outcome-based incentive programs built on trusted, verifiable results.
Posted by Aparna RaturiChief Operating Officer, CarbonFarm
Strengthening farmer access to agri credit
Terrastack has built a spatial intelligence platform on the ALU and AMED APIs to help Indian farmers access formal credit and climate support mechanisms. Using the APIs, the platform has integrated land records, farm-level satellite data, crop activity, climate signals, and market data for over 140 million hectares of farmland, nearly all the land under cultivation across India 1 .
This platform has reduced the need for physical field visits, while enabling Terrastack to generate three key insights with the APIs – land record reconciliation, biofuel procurement, and farm revenue estimates – which can enable India’s agri value chain to make faster and more accurate decisions that benefit farmers.
Google’s ALU and AMED models have enabled us to build a spatial intelligence platform that is helping transform fragmented land, crop, and income data into actionable intelligence for every farm in India.
Posted by Aaryan DangiCo-founder and CEO, Terrastack
Supporting India’s Digital Public Infrastructure for agri
Beyond private sector innovation, Google DeepMind’s agri models are also playing a prominent role in the development of Digital Public Infrastructure for agriculture across India.
The Government of Telangana has integrated the ALU and AMED datasets into its Agriculture Data Exchange (ADeX), which is supporting ecosystem collaborations and innovations to benefit the state’s 5 million+ farmers. As part of this, ALU is helping the state’s agri department reconcile past field survey findings, while the nonprofit alliance NaPanta has integrated AMED into specialized applications that provide farmers early warning indicators and instant crop stress diagnosis. ALU and AMED datasets are also supporting a pilot of the state’s Krishivaas application, which generates actionable, hyperlocal advisories on crop stress, crop-specific weather patterns and localized pest outbreaks.
Together, these innovations are helping us create a stronger digital foundation for agricultural services and innovation across Telangana.
Posted by ITEC DepartmentGovernment of Telangana
Scaling digital agri infrastructure to the world
Our agri models are now also helping shape digital public infrastructure at a global scale.
The Food and Agriculture Organization’s (FAO) CROPGRIDS data platform leverages national agricultural information to improve FAO’s capabilities to monitor sustainability in agriculture at planetary scales.
Building on this effort, the new geoAI4stats initiative at FAO plans to integrate the ALU and AMED datasets into CROPGRIDS to strengthen the depth and frequency of agricultural intelligence available to member countries. The new features will help automate crop detection, generate agricultural maps, and enable faster updating of agricultural statistics.
Supported by $2.5 million in funding from Google.org as part of the AI Collaborative: Food Security, the FAO geoAI4stats project aims to help countries leverage foundational AI models and local datasets to investigate and address current planning and monitoring needs in climate resilience, crop insurance, fertilizer subsidies, and sustainability monitoring.
With support from Google.org, we are bringing together advanced AI capabilities and FAO’s agricultural expertise to strengthen agricultural data as a global public good.
Posted by Francesco TubielloFAO Senior Statistician and geoAI4Stats Lead
Strengthening water management
The Karnataka Water Resources Information System (KWRIS), developed under the state’s Water Resources Department, has combined ALU and AMED with localized weather and remote sensing data to strengthen dynamic water management across the state’s 2.6 million hectares of irrigated area. Our model outputs are contributing to the state’s river basin planning and localized food security.
This enables us to identify areas requiring productivity improvements and supports more informed decisions to improve water productivity and sustainable water resource management across our river basins.
Posted by ACIWRM, Water Resources DepartmentGovernment of Karnataka
A collaborative future for global agri resilience and food security
Securing our global food supply requires ecosystem-wide collaboration. For our part, the AnthroKrishi team remains committed to bringing the advances of AI to enable increasingly effective solutions that promote local agri resilience and a more sustainable future for everyone.
