Work

E Nose Fruit for Ripening Detection

Year: 2026

Type: article

Abstract: 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.

Source: International Journal of Versatile Research and Analysis

DOI: 10.56975/ijvra.v4i4.703819

Authors: Miss Shravani Abhay Garde, Miss. Anuja Bhagwan Ghatage, Miss. Karuna Dilip Kamble, Miss Aishwarya Ajay Kudalkar, Mrs. Supriya Arun Wadekar

Institution: DKTE Society's Textile and Engineering Institute

Language: English

Topic: Advanced Chemical Sensor Technologies

Subfield: Biomedical Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Zero hunger

Open Access status: hybrid

OpenAlex ID: W7154010067