AI-Driven Intelligent IoT Systems for Real-Time Food Quality Monitoring and Analysis-Reference-Cited by-同舟云学术

AI-Driven Intelligent IoT Systems for Real-Time Food Quality Monitoring and Analysis

Published:2024-03-22 Issue: Volume:29 Page:1-5
ISSN:
Container-title:2024 International Conference on Trends in Quantum Computing and Emerging Business Technologies
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Author:

Krishnan Prabhakar¹,Ebenezar U. Samson²,Ranitha R.³,Purushotham N.⁴,Balakrishnan T. Suresh⁵

Affiliation:

1. Amrita Vishwa Vidyapeetham,Center for Cyber Security Systems and Networks,India

2. Saveetha Institute of Medical and Technical Sciences, Saveetha University,Saveetha School of Engineering,Department of Computer Science and Engineering,Chennai,Tamil Nadu,India

3. CARE College of Engineering,Department of Computer Science and Engineering,Trichy,Tamil Nadu

4. Mohan Babu University,Department of Computer Science and Engineering,AP,India

5. Saveetha Institute of Medical and Technical Sciences, Saveetha University,Saveetha School of Engineering,Department of Computer Science and Engineering,Chennai,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10543254/10545024/10545305.pdf?arnumber=10545305

Reference15 articles.

1. An Intelligent IoT-Based Food Quality Monitoring Approach Using Low-Cost Sensors

2. A Systematic Review of Real-Time Monitoring Technologies and Its Potential Application to Reduce Food Loss and Waste: Key Elements of Food Supply Chains and IoT Technologies

3. Modified light GBM based classification of malicious users in cooperative cognitive radio networks

4. Tomato Plant Diseases Classification Using Statistical Texture Feature and Color Feature

5. An Improved Crime Scene Detection System Based on Convolutional Neural Networks and Video Surveillance