Fruit ripening detection plays a crucial role in agriculture, storage, and supply chain management. Conventional methods such as visual inspection and chemical analysis are often subjective, time-consuming, and destructive. This research presents the development of an Electronic Nose (E-Nose) system for non-destructive and real-time detection of fruit ripening stages. The system utilizes gas sensors such as MQ-135, MQ-3, and a VOC sensor to detect volatile organic compounds (VOCs) like ammonia, ethanol, and ethylene released during fruit ripening. The sensor data is processed using an Arduino Uno microcontroller and displayed on a 16×2 LCD screen. The system classifies fruits into unripe, ripe, and overripe categories based on predefined thresholds. Experimental results demonstrate that the proposed system provides accurate, fast, and cost-effective ripeness detection. This technology can significantly reduce post-harvest losses and improve decision-making in agriculture and food industries.
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Garde et al. (Wed,) studied this question.
www.synapsesocial.com/papers/69df2b2ce4eeef8a2a6b0163 — DOI: https://doi.org/10.56975/ijvra.v4i4.703819
Miss Shravani Abhay Garde
Miss. Anuja Bhagwan Ghatage
Miss. Karuna Dilip Kamble
DKTE Society's Textile and Engineering Institute
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