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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM46325
Volume:
9 |
4 |
Apr 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
This research explores an IoT-based fruit health monitoring system that utilizes sensors to detect ripeness, spoilage, and environmental conditions affecting fruit quality. The system integrates real-time data collection, cloud-based analysis, and machine learning to enhance agricultural efficiency. Wireless sensors measure parameters such as temperature, humidity, and gas emissions to assess freshness. Farmers and retailers can access insights via a mobile application for timely decision-making. This innovation aims to reduce food waste, optimize storage, and improve supply chain management.
KEYWORDS
Publication Date
4/28/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
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