Autonomous System for Fruit Freshness Recognition
The detection and monitoring of fruit freshness is a critical aspect of the food supply chain, ensuring quality, reducing waste, and maintaining consumer satisfaction. This research paper presents a novel device designed to assess the freshness of fruits using advanced sensor technology. The device integrates gas sensors to detect volatile organic compounds (VOCs) emitted by ripening or spoiling fruits, along with machine learning algorithms to analyze the data and provide real-time freshness assessments. The system is equipped with wireless connectivity for seamless data transmission and remote monitoring. Experimental results demonstrate the device's accuracy and reliability in detecting fruit freshness, making it a valuable tool for farmers, retailers, and consumers. This innovation has the potential to revolutionize the way fruit freshness is monitored, contributing to a more efficient and sustainable food supply chain
Authors
- Sandeep D. Hanwate (ORCID: https://orcid.org/0000-0003-0774-1146)
- Sarika R. Khope (ORCID: https://orcid.org/0000-0002-5925-3948)
- Sahil Wani (ORCID: https://orcid.org/0000-0002-6768-5564)
- Deep Bhendarkar
- Gajendra Bhople
Institutions
- Raisoni Group of Institutions (IN)
Publication Details
- Published
- 2025-03-06
- DOI
- https://doi.org/10.1109/ispcc66872.2025.11039604
- Primary Topic
- Spectroscopy and Chemometric Analyses
- Type
- article
- Field-Weighted Citation Impact
- 0.00