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 | ReHarvest.AI: A Multimodal Deep Learning and Smart Routing Framework for Sustainable Fruit Waste Reduction |
|---|---|
| ABSTRACT | Fruit waste in the supply chain is a major sustainability challenge, leading to economic loss and environmental impact. This paper presents ReHarvest.AI, an intelligent system designed to reduce fruit waste using deep learning and smart logistics. The system employs a Convolutional Neural Network (CNN) to classify fruits into freshness stages such as fresh, near spoilage, and spoiled. It also predicts shelf life using environmental data to support timely decision-making. Based on these insights, a smart routing module directs edible fruits to NGOs for donation, while spoiled fruits are sent for composting or biogas production. The platform integrates real-time inventory tracking, automated alerts, and role-based dashboards for efficient coordination. Experimental results show improved spoilage detection accuracy and reduced waste through optimized redistribution. The proposed system enhances sustainable supply chain management by combining AI, analytics, and collaborative logistics. |
| AUTHOR | PROF. MANJULA P, SANKETH S U, VIGNESH S, VIKAS K S, YASHASSU B P, UDAYA V HIREMATH, SAISH HANDE Assistant Professor, Dept. of CSE, Jain Institute of Technology, Davangere, Karnataka, India UG Students, Dept. of CSE, Jain Institute of Technology, Davangere, Karnataka, India |
| VOLUME | 183 |
| DOI | DOI: 10.15680/IJIRCCE.2026.1404134 |
| pdf/134_ReHarvest.AI A Multimodal Deep Learning and Smart Routing Framework for Sustainable Fruit Waste Reduction.pdf | |
| KEYWORDS | |
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