Dependable Sensing System for Pig Farming

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dc.contributor.authorAriyadech, Sripong
dc.contributor.authorBonde, Amelie
dc.contributor.authorSangpetch, Orathai
dc.contributor.authorWoramontri, Woranun
dc.contributor.authorSiripaktanakon, Wachirawich
dc.contributor.authorPan, Shijia
dc.contributor.authorSangpetch, Akkarit
dc.contributor.authorNoh, Hae Young
dc.contributor.authorZhang, Pei
dc.date.accessioned2026-08-06T10:26:08Z
dc.date.available2026-08-06T10:26:08Z
dc.date.issued2019-11-01
dc.description.abstractWe 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.
dc.identifier.citation2019 IEEE Global Conference on Internet of Things Gciot 2019, 2019
dc.identifier.doi10.1109/GCIoT47977.2019.9058398
dc.identifier.other2-s2.0-85084120233
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/10300
dc.source2019 IEEE Global Conference on Internet of Things Gciot 2019
dc.subjectAnomaly Detection
dc.subjectData Analytics
dc.subjectInternet of Things
dc.subjectMachine Learning
dc.subjectSensors
dc.subjectSmart Farming
dc.titleDependable Sensing System for Pig Farming
dc.typeConference Paper

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