Mumbai: Google is developing a satellite imagery-based digital agriculture stack to map farm boundaries and identify crop patterns, a senior official said at Mumbai Tech Week.
Satellite-Based Farm Mapping for Agri-Tech
Manish Gupta, Senior Director at Google DeepMind, stated that the model aims to provide a foundational layer for India’s digital agriculture infrastructure. By analyzing satellite images, the system can detect farmland boundaries and classify crop patterns. This data could be leveraged by agri-tech startups and financial institutions for applications such as farm loans, crop insurance, and subsidy disbursement.
Taking inspiration from Aadhaar, the model assigns a unique identification to each farm, which could enhance transparency and efficiency in agricultural financing. India’s farm lending sector is valued at approximately $550 billion, with a significant portion controlled by informal lenders.
Banking Sector’s Interest in Agri-Tech
Gupta’s comments come as Indian banks explore technology-driven agricultural financing. Earlier this week, State Bank of India (SBI) Chairman C.S. Setty mentioned that the bank is considering satellite imagery for streamlining farm loan assessments.
Google’s Push for Indian Language Content
Gupta also highlighted the limited availability of Indian language content online. He noted that while 10% of the global population speaks Hindi, the language accounts for only 0.1% of online content.
To bridge this gap, Google has launched the “Vaani” project, which aims to collect speech data from across India’s 700+ districts. In the first phase, the company has gathered 14,000 hours of audio from 80 districts in 59 languages.
AI’s Role in Scientific Advancements
Gupta emphasized the role of artificial intelligence in expanding scientific research. He pointed to DeepMind’s contributions to protein structure predictions, which played a role in Nobel Prize-winning research in Chemistry.
