Fyllo Is Bringing AI-Powered Precision Farming To Indian Agriculture
The Bengaluru-based agritech startup combines field sensors, weather intelligence and AI-driven crop advice to help farmers make informed decisions and manage resources more efficiently.
From Software Engineering To The Farmlands
Farming often depends on decisions made under uncertain conditions. Changes in rainfall, soil moisture, temperature and crop health can affect yields, while farmers may lack access to reliable, farm-specific information. Fyllo was founded in 2019 to address this challenge by bringing data and technology closer to agricultural fields.
Co-founded by Sudhanshu Rai and Sumit Sheoran, Fyllo grew out of their shared connection to farming and engineering backgrounds. Rather than relying only on technology developed from a distance, the team worked directly with farmers to understand the practical challenges they faced. Its early work with a small group of growers helped establish the foundation for a platform focused on real farming conditions.
The company’s goal was to make agricultural decisions more precise, helping farmers understand what was happening in their fields and determine when action was needed.
Combining Field Sensors With Artificial Intelligence
Fyllo’s platform brings together Internet of Things (IoT) devices, weather forecasting and crop-specific agronomy models. Instead of depending entirely on general weather forecasts or fixed schedules for irrigation and spraying, farmers can use field-level data to guide their decisions.
Its hardware includes Nero, a soil sensor that monitors moisture and temperature around the root zone, and Kairo, a farm intelligence station that tracks multiple soil, weather and crop-environment parameters. These devices collect information that can help farmers understand changing conditions across their fields.
The data is processed through Fyllo’s digital platform, which provides recommendations through its mobile application and other tools. Its agronomy models support decisions related to irrigation, fertiliser application, pest risks and crop diseases. The aim is to turn technical information into practical guidance that farmers can use during the growing season.
Fyllo has also developed DeepMet, an AI-based weather intelligence model designed to provide localised rainfall forecasts. Its DeepMet 1 model generates precipitation forecasts at a 10-kilometre grid resolution, helping address the limitations of broader forecasts that may not capture differences between nearby farming locations.
Helping Farmers Use Resources More Efficiently
Water, fertilisers and crop-protection products account for important farming costs. Applying them without enough information can lead to unnecessary expenditure or missed opportunities to protect crops.
By combining soil readings, environmental monitoring and crop-specific recommendations, Fyllo aims to help farmers make better-informed choices about when to irrigate, fertilise or respond to potential disease risks. More precise decisions can support resource efficiency while helping growers monitor crop conditions throughout the season.
The company reports that its platform has been associated with improvements in crop yields and reductions in water use and input costs. Actual results can vary depending on crop type, local conditions, farming practices and how consistently the recommendations are followed.
Growing Beyond Its Early Farmer Network
Fyllo has expanded considerably since its initial pilots. According to the company’s website, its platform now reaches more than 15,000 farmers across 75,000 acres and covers over 35 crops. Its technology is also being used across international markets, extending its work beyond Indian agriculture.
The company has attracted investment to develop its products and expand its reach. In May 2024, Fyllo raised $4 million in a funding round led by IndiaQuotient and SIDBI Venture Capital, with participation from existing investors including the Indian Angel Network. The funding was intended to support product development, new crop categories and geographical expansion.
Building A More Data-Driven Future For Farming
Agriculture faces growing pressure to manage water, weather uncertainty, input costs and crop quality. Technology alone cannot remove these challenges, but better information can help farmers respond with greater clarity.
Fyllo’s approach centres on connecting real-time field measurements with AI-based forecasting and practical crop advice. By bringing these tools together, the company is working to make precision farming more accessible and useful for growers.
As the platform expands across crops and regions, its larger objective remains clear: help farmers move from guesswork towards decisions informed by data, field conditions and crop-specific knowledge.
