Paper Info
Title
Non-Invasive Method Using Contact-Less Sensors And Embedded Platform For Monitoring Quality Determining Factors Of Indian Mangoes
Abstract
The paper aims at proposing a non-invasive method for monitoring of the quality determining factors of Indian mangoes. The framework shows an IoT architecture in global mango cold chain using edge computing. Positioned at the inside of the reefer container, the system performs the task of sampling physio-chemical data from its integrated sensors and records the dynamic changes in continuous data streams. These records are treated in batches and incase of sensor events, the device triggers an alarm to a remote administration system hosted in Google cloud. GSM (during land transport) and on board Wi-Fi (during sea transport) are used as communication protocols during the phases of the journey. The data generated from the devices have been calibrated with reference to a standard Industry grade meter and compared with other similar systems.
Year
DOI
Venue
2020
10.1109/IECON43393.2020.9254976
IECON 2020: THE 46TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY
Keywords
DocType
ISSN
Sensors, Embedded Platform, Cold chain, IoT protocol, Edge Device
Conference
1553-572X
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Subhadeep Bardhan100.34
Sourav Bagchi200.34
Mamata Jenamani314018.19
Aurobinda Routray433752.80