Paper Title
AI – DRIVEN CROP ADVISORY SYSTEM
Article Identifiers
Authors
Gaviya S , Geetha S , Kanaga Lakshmi T , MuthuLakshmi A
Keywords
Crop Recommendation, Artificial Intelligence, Precision Agriculture, India, Agricultural Schemes, Machine learning for crop selection, Smart farming solutions.
Abstract
This research dives into the development and implementation of a smart crop advisory system called the "AI-Driven Crop Advisory System," tailored specifically for the agricultural community in India. The system features a geospatial interface that allows users to easily locate their farmland on an interactive digital map. Once a specific area is selected, the platform combines real-time weather data with local soil characteristics. A pre-trained machine learning model then analyzes this integrated information to recommend the best crops for that particular location. Beyond just crop recommendations, the system also includes a comprehensive database of government agricultural programs, providing farmers with easy access to details about program objectives, key features, and relevant web links. By blending AI-powered predictive analytics with essential information on government support, this system aims to empower Indian farmers with practical insights for better crop choices, improved agricultural yields, and a deeper understanding of available resources, ultimately fostering more effective and informed farming practices.
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How To Cite (APA)
Gaviya S, Geetha S, Kanaga Lakshmi T, & MuthuLakshmi A (March-2025). AI – DRIVEN CROP ADVISORY SYSTEM. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 10(3), e298-e303. https://ijnrd.org/papers/IJNRD2503437.pdf
Issue
Volume 10 Issue 3, March-2025
Pages : e298-e303
Other Publication Details
Paper Reg. ID: IJNRD_304906
Published Paper Id: IJNRD2503437
Downloads: 000122102
Research Area: Science and Technology
Country: Tirunelveli, TamilNadu, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2503437.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2503437
About Publisher
Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
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Licence
This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition
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Paper Submission Open For: September 2025
Current Issue: Volume 10 | Issue 9 | September 2025
Impact Factor: 8.76
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