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Advanced Marketplace Suggestion System For Farm Produces Using AIML
Atharv C. Chavan, Manav P. Bansode, Om L. Kamble, Rahul N. Kamble, Vaijanath M. Wale, Prof. D. D. Mahajan
DOI: 10.17148/IJARCCE.2026.153108
Abstract: This paper presents an Advanced Marketplace Suggestion System for Farm Producers designed to enhance decision-making in agricultural trade through Artificial Intelligence (AI) integration. Traditional agricultural market systems often fail to differentiate produce based on quality, resulting in inefficient distribution and reduced profitability for farmers. The proposed system addresses this challenge by incorporating AI-based crop quality classification to categorize agricultural produce into four levels: Premium, Best, Good, and Bad. Based on the identified quality, the system intelligently recommends appropriate marketplaces such as exporters, processing industries, or local markets.
Keywords: Artificial Intelligence, Crop Quality Classification, Marketplace Recommendation System, Machine Learning, Smart Farming.
Keywords: Artificial Intelligence, Crop Quality Classification, Marketplace Recommendation System, Machine Learning, Smart Farming.
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This work is licensed under a Creative Commons Attribution 4.0 International License.How to Cite:
[1] Atharv C. Chavan, Manav P. Bansode, Om L. Kamble, Rahul N. Kamble, Vaijanath M. Wale, Prof. D. D. Mahajan, βAdvanced Marketplace Suggestion System For Farm Produces Using AIML,β International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2026.153108