New Delhi, Dec 6 (IANS) The federal government has employed Synthetic Intelligence (AI) strategies to enhance crop productiveness, sustainability and farmer livelihoods and to handle varied challenges within the agricultural sector.
In direction of this, an AI-based pilot was carried out in collaboration with the Improvement Innovation Lab-India on agriculturally related native monsoon onset forecasts throughout components of 13 states for Kharif 2025.
In line with Minister of State for Agriculture and Farmers Welfare, Ramnath Thakur, an open-source blended mannequin was used, together with NeuralGCM, the European Centre for Medium-Vary Climate Forecasts’ (ECMWF) Synthetic Intelligence Forecasting System (AIFS), and historic rainfall information from 125 years from the India Meteorological Division (IMD).
The probabilistic forecasts predicted solely the native onset of the monsoon, which is crucial for deciding on the date of sowing crops, stated the minister in a written reply in Rajya Sabha.
Native monsoon onset forecasts had been despatched by way of SMS by means of the M-Kisan portal to three,88,45,214 farmers in 13states in 5 regional languages – Hindi, Odia, Marathi, Bangla and Punjabi.
Telephonic farmer suggestions surveys had been carried out in Madhya Pradesh and Bihar by means of Kisan Name Centres after the forecasts had been despatched.
The survey revealed that 31–52 per cent farmers adjusted their planting selections, primarily by means of modifications in land preparation and sowing timing, which included crop and enter alternative.
Furthermore, ‘Kisan e-Mitra’ is a voice-based AI-powered chatbot, developed to help farmers with responses to their queries on PM Kisan Samman Nidhi scheme, PM Fasal Bima Yojna and Kisan Credit score Card.
This resolution helps 11 regional languages and is evolving to help with different authorities packages.
At current, it handles over 8,000 farmer queries every day and to this point, greater than 93 lakh queries have been answered, in line with the minister.
Additionally, the Nationwide Pest Surveillance System utilises AI and Machine Studying to detect pest infestation in crop points, enabling well timed intervention for more healthy crops.
The AI software, at the moment utilized by over 10,000 extension employees, permits farmers to seize pictures of pests to assist them mitigate pest assaults and cut back crop losses.
It helps 66 crops and over 432 pests. AI-based analytics utilizing area images for satellite-based crop mapping is being utilized in crop-weather matching monitoring of crops sown.
—IANS
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