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Dependable Sensing System for Pig Farming

Author(s)
Ariyadech, Sripong
Bonde, Amelie
Sangpetch, Orathai
Woramontri, Woranun
Siripaktanakon, Wachirawich
Pan, Shijia
Sangpetch, Akkarit
Noh, Hae Young
Zhang, Pei
Date Issued
November 1, 2019
Type
Conference Paper
DOI
10.1109/GCIoT47977.2019.9058398
Abstract
We have deployed our smart sensing system in a real commercial farm complex for at least 17 months. One of critical factors to success of the sensing system deployment is the resilience and fault tolerance of the system in a harsh environment with unreliable infrastructure and limited access. Power interruptions and intermittent connectivity is not uncommon. Sensors must work even submerging in animal excretion. Correct and continuous streams of sensor data is essential to our smart farming analytics. To make our sensing system sustain such challenges, we have designed and implemented the system with a capability of self-rejuvenation to ensure system liveness. We also equip it with our anomaly detection system to examine small sensor connectivity logs in order to identify potential faulty or deteriorating sensors or external event abnormality with minimal manual intervention.
Citation
2019 IEEE Global Conference on Internet of Things Gciot 2019, 2019
Subjects

Anomaly Detection

Data Analytics

Internet of Things

Machine Learning

Sensors

Smart Farming

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