Self-Powered Food Assessment System Using LSTM Network and 915 MHz RF Energy Harvesting

Self-Powered Food Assessment System Using LSTM Network and 915 MHz RF Energy Harvesting

This study proposes a self-powered food monitoring system that benefits from far-field RF Energy harvesting and deep learning techniques. Recent smart IoT systems for food quality management mainly focused on the appearance of Total Volatile Organic Compounds (TVOCs) during food preservation, which...

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Bibliographic Details
Main Authors: Huu-Dung Do, Dong-Eon Kim, Minh Binh Lam, Wan-Young Chung
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Food quality prediction
radio-frequency energy harvesting
air pressure sensor
printed Yagi antenna
long short-term memory (LSTM)
convolutional neural network (CNN)
Online Access:https://ieeexplore.ieee.org/document/9476040/

Internet

https://ieeexplore.ieee.org/document/9476040/

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