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Autori principali: Devika C S, Roshni Nayankara, Joyna Jose, Teena Vinod, Remya P C
Natura: Recurso digital
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Pubblicazione: Zenodo 2026
Accesso online:https://doi.org/10.5281/zenodo.18501983
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author Devika C S
Roshni Nayankara
Joyna Jose
Teena Vinod
Remya P C
author_facet Devika C S
Roshni Nayankara
Joyna Jose
Teena Vinod
Remya P C
contents <p><span lang="EN">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.</span></p>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_18501983
institution Zenodo
language
publishDate 2026
publisher Zenodo
record_format zenodo
spellingShingle AI-Powered Android Application for Fruit and Vegetable Quality Detection
Devika C S
Roshni Nayankara
Joyna Jose
Teena Vinod
Remya P C
<p><span lang="EN">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.</span></p>
title AI-Powered Android Application for Fruit and Vegetable Quality Detection
url https://doi.org/10.5281/zenodo.18501983