Paper Title
AI-Integrated Decision Support System For Smart Agriculture and Rural Development
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Registration ID: IJNRD_322392
Published ID: IJNRD2603580
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Keywords
sustainable agriculture, rural development, machine learning, artificial intelligence, crop recommendation, fertilizer guidance, plant disease detection, soil fertility analysis, smart farming, healthcare chatbot.
Abstract
The AI-Integrated Decision Support System For Smart Agriculture and Rural Development is an integrated system to address pressing challenges in rural India, enhancing agricultural productivity while supporting holistic village development. Driven by machine learning and AI technologies, the platform offers personalized recommendations on crops, fertilizer advice, detection of plant diseases, and fertility analyses of the soil-all enabling the farmer to take informed decisions, improving yields, efficiency, and sustainability. Agriculture remains the dominant livelihood for millions in rural India; however, poor crop yields, inefficient resource utilization, soil degradation, diseases of plants, and lack of expert guidance are just but a few of the challenges farmers face. The villages also struggle with poor health care and educational resources and infrastructure-hindering socio- economic development. Apart from agriculture, village development modules host features such as healthcare, education, and infrastructure monitoring. One important module is an AI healthcare chatbot, which interfaces with villagers in analyzing their symptoms, guiding them on preventive care and offering essential medical support, bridging the chasm that exists in rural healthcare access. It likewise provides real-time tracking of projects, updates from volunteers and highlights government schemes to ensure total transparency, accountability and timely resolution of problems. Integrating agriculture intelligence with community development, the system champions sustainable growth, socio- economic empowerment, and resilience across rural India. This comprehensive approach provides a scalable and replicable model for achieving improvement in farming outcomes and overall quality of life in villages, aligning with the objectives of Digital India and demonstrating the potential of AI and Machine Learning in driving inclusive rural development and agricultural advancement.
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How To Cite (APA)
Mrs.V.Prema Tulasi, B.Chandra Shekar, T.Dheeraj Reddy, & B.Rakshitha Reddy (March-2026). AI-Integrated Decision Support System For Smart Agriculture and Rural Development. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 11(3), f632-f637. https://ijnrd.org/papers/IJNRD2603580.pdf
Issue
Volume 11 Issue 3, March-2026
Pages : f632-f637
Other Publication Details
Paper Reg. ID: IJNRD_322392
Published Paper Id: IJNRD2603580
Research Area: Other area not in list
Author Type: Indian Author
Country: medchal, Telangana, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2603580.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2603580
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