Kelachandra Coffee Partners with Deepflow Technologies to Deploy Hyperlocal Climate Intelligence in Chikkamagaluru
16 December 2025, Bengaluru: Kelachandra Coffee, a privately held coffee plantation company in India, has entered into a partnership with Deepflow Technologies, an agri-tech startup incubated at NSRCEL, IIM Bangalore, to deploy hyperlocal climate monitoring systems across its estates. As part of the collaboration, Augmented Weather Stations (A-WS) and IndraWeather (powered by mistEO) will be installed across Kelachandra’s 15 estates located in the Western Ghats of Chikkamagaluru and Wayanad.
The deployment aims to build a data-driven approach to coffee cultivation by generating estate-level weather intelligence to support climate risk management and operational planning. The initiative began as a pilot at the Chandrapore Estate and has now moved into a long-term deployment phase following validation of the technology. The project is being expanded to cover the entire Kumergode Cluster and Kelachandra’s 6,500-acre estate network.
Ms. Rishina Kuruvilla, Head of CSR & Sustainability at Kelachandra Coffee, said the partnership aligns with the company’s long-term sustainability objectives. “Climate variability has become a regular challenge for coffee growers. By integrating Deepflow’s hyperlocal climate intelligence, we are moving from reactive responses to droughts or heavy rainfall towards proactive climate adaptation. The data supports informed decisions on varietal planning and agroforestry, helping maintain productivity and environmental balance over time.”
Deepflow’s Augmented Weather Stations capture real-time data on rainfall, temperature, humidity, wind and other parameters. This data is analysed through IndraWeather to generate hyperlocal forecasts intended to support daily and seasonal farm operations.
Ms. Neleema Rana George, Head of Coffee Works & Technology at Kelachandra Coffee, said the system has operational applications across the production cycle. “Access to real-time and location-specific weather data allows us to plan irrigation, fertilisation, harvesting and fermentation based on current conditions rather than historical averages. Forecast-based weather windows also help in managing harvest schedules and post-harvest processes, which has implications for yield stability and cup quality.”
During the pilot phase, the system recorded real-time weather data accuracy of approximately 95 percent. Forecast accuracy ranged between 80 and 88 percent, with rainfall tracking accuracy reaching up to 92 percent during peak weather events. According to the company, this level of precision supports pest management planning, labour scheduling and cost optimisation.
Mr. Atthri Anand, Managing Director of Deepflow Technologies, said the deployment demonstrates the application of microclimate intelligence in plantation agriculture. “The use of estate-level weather data enables growers to manage microclimate variability more effectively. The performance of the Augmented Weather Stations and IndraWeather models in the Western Ghats shows that such systems can be deployed across complex terrains for coffee cultivation.”
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