Agricultural Understanding platform

"We are excited to collaborate with Google Research to leverage their satellite-based field segmentation and crop classification data models. This collaboration will help us co-create advanced, data-driven solutions that will help leapfrog the digital journey of the agri-ecosystem in India. We believe that this collaboration will have a significant impact on the lives of multiple stakeholders, creating a more sustainable ecosystem of agri-participants."

“As CEO of TeamUp!, I commend Google for their exemplary innovation in AI to empower farmers and strengthen agriculture. By leveraging Google's ALU model outputs to extract field boundaries with precision, we have greatly enhanced crop booking and farm advisory features in our mobile app serving the Department of Agriculture, Government of Telangana.

The automated field segmentation and classification of landscape attributes have allowed us to map crops, trees and infrastructure across farms accurately. This has been invaluable for administrators approving loans, subsidies and schemes based on actual field assets. It has also helped guide farmers in planning for kharif and rabi seasons.

What I find most laudable is Google's willingness to collaborate openly by sharing ALU outputs to solve real-world agricultural challenges. The commitment to tailoring AI solutions to this sector where digital tools remain underutilized has tangibly advanced prosperity. Our smallholder farmers are now empowered by data insights previously hard to access.

On behalf of my whole team, I congratulate Google for spearheading AI innovation that transforms lives at scale. We hope this is just the start of a long and fruitful partnership leveraging technology for rural transformation with compassion.”

"Google's AnthroKrishi has revolutionized the way we perceive and manage farm boundaries. The automated and accurate farm boundary detection platform has proven to be a cost-effective and precise solution for farm boundary delineation, presenting a significant advancement for the agriculture industry.

By automating this critical process, farmers, agribusiness companies, insurers, and bankers can now save valuable time and resources while obtaining farm boundary maps that are both accurate and reliable. This breakthrough empowers stakeholders across the agricultural spectrum to make more informed and strategic decisions.

For farmers, having access to precise farm boundary maps means optimizing crop management practices, ultimately leading to improved yields and reduced environmental impacts. Agribusiness companies can leverage these maps to monitor land use patterns and crop health.

Insurers and bankers, armed with the knowledge of exact farm boundaries, can enhance their loan and insurance underwriting processes. This not only improves the accuracy of risk assessment but also streamlines financial operations in the agriculture sector.

Agri analytics, coupled with accurate farm boundaries, is a game-changer in India. We foresee immediate and widespread commercial applications, particularly in the banking and insurance domains. The potential impact on the industry is immense, marking a transformative step towards a more efficient, sustainable, and data-driven future for Indian agriculture."

IIT Bombay has been interacting with the ALU team for more than a year now and has seen the ALU output as it has evolved. Our interest has been to deploy it to various development sectors related to agriculture. The ALU serves as an extremely useful proxy for ground reality. It allows us to convert wicked image processing problems into 2D discrete geometry problems. One prime use has been in validation of land records, where official ownership records do not match the actual land tilled by the farmer. In our recent project with the Department of Land Records, Govt. of Maharashtra, on modernizing Maharashtra's land records, the ALU output was found as an important data set to aid in the process. We are planning to use ALU output in other areas too - in irrigation and agri. energy planning, crops and yields management - to name a few.