Agritech startup Fyllo has launched DeepMet 1, an AI-powered weather prediction model designed to provide short-term rainfall forecasts of up to six hours in duration. This innovation enhances accuracy for farmers, cities, and industries that rely on precise weather information, claimed the company.

“DeepMet 1 operates at a hyperlocal resolution of 10 × 10 kilometers and has been specifically developed for the Indian subcontinent,” said Fyllo in a media release.

It added, “The model aims to bridge the gap between traditional numerical weather prediction (NWP) systems and the real-world needs of India’s diverse climatic zones. It addresses challenges such as fluctuating crop yields, urban disruptions, and the strain on power systems caused by unexpected rainfall.”

“By analysing satellite observations from the previous six hours, DeepMet 1 produces localized precipitation forecasts, often distinguishing rainfall variations between neighbouring villages, streets, or farmland blocks,” claimed Fyllo.

“India's diverse weather necessitates dynamic tools for accurate forecasting. Farmers, city planners, and energy managers often rely on general forecasts that overlook local conditions and specific needs. DeepMet 1 aims to address this by providing hyperlocal, AI-driven weather intelligence, making it accessible to all stakeholders,” said Sumit Sheoran, cofounder of Fyllo.

Fyllo operates as an ML-based IoT system within the agriculture industry. “The company has raised $6.52 million in funding from investors, including India Quotient and SIDBI Venture Capital,” the release said.