Home India Ministry of Agriculture and Farmers Welfare Parliament Question: Hybrid Agricultural Intelligence...
Date: 2025-07-29 Category: Not Applicable State: Union Government Country: India

Parliament Question: Hybrid Agricultural Intelligence

Issued by Ministry of Agriculture and Farmers Welfare · Not Applicable

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Executive Summary & Key Takeaways

Executive Summary: The Ministry of Agriculture and Farmers Welfare is actively developing 'Hybrid Agricultural Intelligence' (HAI) by integrating agricultural practices and Artificial Intelligence (AI). This initiative aims to create sustainable, climate-smart, and efficient solutions for agriculture. Key components include data-driven decision support, climate-smart agriculture, and digitization of indigenous knowledge. Several research and pilot projects are underway, involving various research and technical institutes. Key Points / Main Content: * **Vision and Goals of HAI:** * Develop AI-based models and technologies for sustainable, climate-smart, efficient, and locally adaptive solutions. * Focus on precision farming, enhanced crop production, sustainable agriculture, and improved livestock management. * **Initiatives by the Ministry of Agriculture and Farmers Welfare:** * Kisan eMitra: An AI-powered chatbot to assist farmers with queries about the PM Kisan Samman Nidhi Scheme, supporting multiple languages and expanding to other government programs. * National Pest Surveillance System: Uses AI and Machine Learning to detect crop issues due to climate change, enabling timely intervention. * AI-based Analytics: Utilizes field photographs for crop health assessment and crop health monitoring using satellite, weather, and soil moisture datasets for rice and wheat crops. * **Research Projects:** * Precision Agriculture * Intelligent irrigation system for field crops * Plant disease detection using UAV multispectral imagery * Yield prediction using multitemporal data * AI-enabled jute fibre grading * Monitoring and early infection detection in dairy cattle * Pregnancy detection in dairy animals * Precision livestock farming systems * Precision enclosure culture and fisheries management * **Institutes Involved:** * ICAR-Central Institute of Agricultural Engineering, Bhopal * ICAR-Central Institute of Post Harvest Engineering and Technology, Ludhiana * Indian Institute of Technology, Kharagpur * Punjab Agricultural University, Ludhiana * ICAR-Indian Institute of Agricultural Research, New Delhi * ICAR-National Dairy Research Institute, Karnal * ICAR-Indian Institute of Horticultural Research, Bengaluru * ICAR-Central Inland Fisheries Research Institute, Barrackpore * ICAR-Sugarcane Breeding Institute, Coimbatore * ICAR-Central Institute for Dryland Agriculture, Hyderabad * Centre for Development of Advanced Computing, Kolkata * Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Kashmir Impact Analysis: Farmers: Impact: Access to AI-powered tools and information for better decision-making, improved crop yields, and assistance with government programs. Action Required: Utilize available resources like Kisan eMitra for information and support, and participate in initiatives like the National Pest Surveillance System. Research Institutes and Universities: Impact: Collaboration opportunities in research projects related to AI in agriculture. Action Required: Continue research and development efforts in relevant fields and collaborate with other institutions to contribute to the HAI initiative. Policymakers: Impact: Improved data-driven decision-making for agricultural policies and programs. Action Required: Support the development and implementation of HAI initiatives through funding and policy frameworks.

Key Entities Referenced

Hybrid Agricultural Intelligence HAI: A model integrating agricultural practices and Artificial Intelligence AI, aiming for data-driven decision support, climate-smart agriculture, and digitization of indigenous knowledge. AGRICULTURE AND FARMERS WELFARE: The ministry responsible for initiatives related to agriculture and farmers' welfare. Pm Kisan Samman Nidhi Scheme: A government program supported by Kisan eMitra and AI-powered chatbot for farmer assistance. National Pest Surveillance System: A system utilizing AI and Machine Learning to detect crop issues and enable timely intervention. ICARCentral Institute of Agricultural Engineering, Bhopal: A research institute located in Bhopal, Madhya Pradesh, involved in agricultural engineering. Indian Institute of Technology, Kharagpur: A technical institute involved in research related to agriculture. Punjab Agricultural University, Ludhiana: An agricultural university involved in research related to agriculture. ShereKashmir University of Agricultural Sciences and Technology of Kashmir, Kashmir: An agricultural university in Kashmir involved in agricultural research and education.
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O.I.H. GOVERNMENT OF INDIA MINISTRY OF AGRICULTURE AND FARMERS WELFARE DEPARTMENT OF AGRICULTURAL RESEARCH & EDUCATION LOK SABHA UNSTARRED QUESTION NO. 1466 TO BE ANSWERED ON 29TH JULY, 2025 HYBRID AGRICULTURAL INTELLIGENCE 1466. SHRI SHYAMKUMAR DAULAT BARVE: Will the Minister of AGRICULTURE AND FARMERS WELFARE कृषि और ककसान कल्याण मंत्री be pleased to state: (a) whether the Government is making active efforts towards developing models like 'Hybrid Agricultural Intelligence (HAI) by integrating agricultural practices and Artificial Intelligence (AI); (b) if so, the details of the vision, goals and primary components of HAI (e.g. date- driven decision support systems, climate-smart agriculture, and digitization of indigenous knowledge); (c) the details of major research project, pilot projects, or policy initiatives related to HAI initiated so far and Government in these projects; and (d) the number of research institutes, agricultural universities, technical institutes (like IITs, IIITs) and multi-disciplinary centres linked in collaborative manner in this perspective? ANSWER THE MINISTER OF STATE FOR AGRICULTURE AND FARMERS WELFARE कृषि और ककसान कल्याण राज्य मंत्री (SHRI BHAGIRATH CHOUDHARY) (a) & (b): Artificial Intelligence based models/technologies developments are in focus of R&D programme of the government for achieving sustainable, climate smart, efficient and locally adaptive solutions for precision farming, enhanced crop production, sustainable agriculture and improved live-stock management. Some of the initiatives by Ministry of Agriculture & Farmers Welfare are: • “Kisan e-Mitra” and AI-powered chatbot to assist farmers with queries about the Pm Kisan Samman Nidhi Scheme. This solution supports multiple languages and is evolving to assist with other government programs. 1• National Pest Surveillance System for tackling the loss of produce due to climate change. This system utilizes AI and Machine learning to detect crop issues, enabling timely intervention for healthier crops. • AI based analytics using field photographs for crop health assessment and crop health monitoring using satellite, weather & soil moisture datasets for rice and wheat crop. (c): Some of the research projects related to the above fields are as below: • Precision Agriculture • Intelligent irrigation system for field crops • Plant disease detection using UAV multispectral imagery • Yield prediction using multi-temporal data • AI enabled jute fibre grading • Monitoring and early Infection detection in dairy cattle • Pregnancy detection in dairy animals • Precision livestock farming systems • Precision enclosure culture and fisheries management (d): Some Institutes involved in the research related to the above subjects are as below: ICAR-Central Institute of Agricultural Engineering, Bhopal; ICAR-Central Institute of Post Harvest Engineering and Technology, Ludhiana; Indian Institute of Technology, Kharagpur; Punjab Agricultural University, Ludhiana; ICAR-Indian Institute of Agricultural Research, New Delhi; ICAR-National Dairy Research Institute, Karnal; ICAR-Indian Institute of Horticultural Research, Bengaluru; ICAR-Central Inland Fisheries Research Institute, Barrackpore; ICAR-Sugarcane Breeding Institute, Coimbatore; ICAR-Central Institute for Dryland Agriculture, Hyderabad; Centre for Development of Advanced Computing, Kolkata; Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Kashmir. ****** 2

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