AI-Powered Android Application for Fruit and Vegetable Quality Detection

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Authors: Devika C S, Roshni Nayankara, Joyna Reba Jose, Teena Vinod, Remya P C
Cited by: 0

Abstract

The proposed project introduces a mobile app that helps people check the quality of fruits (like apples, bananas, and oranges) using artificial intelligence. The app works on Android phones and uses a powerful deep learning model called EfficientNetB5. It looks at pictures of fruits and tells whether they are “Good”, “Bad”, or “Mixed” (a mix of both good and bad signs). Users can take a photo or upload one in the app, and it will quickly check the fruit’s freshness. This is useful for both customers and shopkeepers. It helps people choose better fruits and avoid waste. For shops and food companies, the app offers a cheap and smart way to sort out bad fruits, and even allows robotic help in the future. This app shows how smart technology can make daily life easier, help the environment by reducing food waste, and support better decisions when buying or selling fruits and vegetables.

Fields of Study & Subjects

Smart Agriculture and AI Advanced Neural Network Applications Postharvest Quality and Shelf Life Management

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
6 February 2026