International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | AI Based Agricultural Market Intelligence System |
|---|---|
| ABSTRACT | Agriculture is the backbone of many economies, faces challenges like a lack of information, outdated practices, and limited access to technology. This work proposes a user-friendly, multilingual platform leveraging Generative AI to address farmer profit. This proposed system encompasses various features to enhance the farmer's profit. Multilingual support ensures accessibility for a wider audience, breaking down language barriers. The proposed system is an "AI Based Agricultural Market Intelligence System." It recommends the most profitable nearby markets and suggests remunerative value addition techniques (such as converting raw produce into powders or processed goods) to significantly increase farmer income. The system intelligently combines real-time data from the chatbot, dynamic price forecasting, visual line charts, and generative AI to deliver simple, actionable advice in natural language. It empowers farmers not only to make better decisions but also to enhance their income and business strategies. |
| TITLE | |
| AUTHOR | DR. BHUVANESHWARI K V, LIKHITHA K S, M S NAGESH, NAYANA C N, RENUKA SWAMY S K |
| VOLUME | 176 |
| DOI | DOI: 10.15680/IJIRCCE.2025.1311090 |
| pdf/90_AI Based Agricultural Market Intelligence System.pdf | |
| KEYWORDS |
