Work

Food Safety detection using CNN and RNN

Year: 2026

Type: article

Abstract: This project uses CNN and RNN techniques to detect food safety. A Convolution Neural Network (CNN) analyzes images of fruits to classify them as fresh or rotten. Along with this, a simple RNN-based temperature logic is used to evaluate spoilage risk based on environmental conditions. The system combines both results to determine whether the food is safe to eat or unsafe, providing a smarter and more reliable food quality assessment.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.19676632

Authors: HARI, ADITH, Kandasamy, Janaki

Language: English

Topic: Advanced Neural Network Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Zero hunger

Open Access status: green

OpenAlex ID: W7155074102

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