Министр сельского хозяйства Индии запустил цифровую систему CLiMAQ для оценки локальных климатических рисков

RMSI's new tool to offer localised climate risk intelligence to enterprises RMSI is a tech company delivering advanced solutions in geospatial intelligence, AI, and smart automation to help enterprises address complex challenges such as climate change and disaster management Listen to This Article Union Agriculture Minister Shivraj Singh Chouhan on Thursday launched CLiMAQ, a climate-risk intelligence digital tool, at the Global Sustainability Summit of the Confederation of Indian Industry (CII). Developed by technology company RMSI, the tool, launched when massive flash floods wreaked havoc in Nepal, provides hyperlocal climate-risk intelligence to enterprises and businesses, along with risk projections. In an interview with Business Standard, Anup Jindal, chief executive officer (CEO) and joint managing director, RMSI, and Roli Jindal, cofounder and CEO, RMSI Cropaltyics, talk to Shubham Kumar about the tool’s scale and applicability. Edited excerpts:   How does the tool help industries?  Anup Jindal: As an industry, how do you understand that a predicted increase in temperature or rainfall is relevant for you, for which asset, and at which location? This is the gap this tool fills. It takes climate models and translates them into a resolution at which the industry is operating.   How does the tool work?  Anup Jindal: The models developed by the Intergovernmental Panel on Climate Change (IPCC) tell us about climate risk and risk projections. Proprietary RMSI models then take inputs from the IPCC model and resolve them at a much higher level. Combined with the location data of a business or expert, they understand the likely risk from such disasters. Our models are downscaled to a resolution of 30 metres to 12 km, depending on the hazard type, whereas the other climate models typically operate at 12-30 km. Also Read With our proprietary models combining artificial intelligence and machine learning with probability distribution, we cover non-linearity of climate variables and their impact, and also how that is going to be impacted. Or, how is the disaster likely to be at a particular location? How is this tool useful for agriculture?  Roli Jindal:  India has 180 million hectares of farmland. We have all of it mapped. So, we can observe the climate-agriculture linkage at a pan-Indian level and macro scale. If I am a seed company, where should I go? Which villages should I go to? Which village has how much acreage? Where should you send your people? At a very micro level, the crop is healthy in one farm and not in another. So, we can pick up those differences with remote sensing research. Plot by plot identification helps in spotting which plot is stressed.  Anup Jindal: These models can be extended equally to agriculture and can address the food-security risk that climate change imposes.   How have some of the digital insights helped stakeholders?   Roli Jindal: We are working with big export councils and associations exporting groundnut and sesame. For the past three-four years, we have been working to forecast the production of these crops in every district.   Uttar Pradesh does all its agriculture data reporting using satellite technology, which is basically digital crop monitoring.   Who can access the tool and what is pricing?  Anup Jindal: It is software as a service (SaaS) and can be accessed on the internet. There are three versions of the tool. There is a free version, which any small enterprise can always view and utilise. Then there is a pro version, to which a larger enterprise can subscribe. There is an enterprise version, which has custom pricing.   Roli Jindal: The enterprise can get the data and further disseminate it to farmers. More From This Section Topics : Climate Change Rainfall Monsoon Don't miss the most important news and views of the day. Get them on our Telegram channel First Published: Aug 27 2026 | 7:28 PM IST