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Open AccessArticle

SensorTalk: An IoT Device Failure Detection and Calibration Mechanism for Smart Farming

1
Department of Computer Science, National Chiao Tung University, Hsinchu 300, Taiwan
2
College of Artificial Intelligence, National Chiao Tung University, Tainan 711, Taiwan
3
Institute of Statistics, National Chiao Tung University, Hsinchu 300, Taiwan
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(21), 4788; https://doi.org/10.3390/s19214788
Received: 14 October 2019 / Revised: 27 October 2019 / Accepted: 30 October 2019 / Published: 4 November 2019
(This article belongs to the Special Issue Smart Agricultural Applications with Internet of Things)
In an Internet of Things (IoT) system, it is essential that the data measured from the sensors are accurate so that the produced results are meaningful. For example, in AgriTalk, a smart farm platform for soil cultivation with a large number of sensors, the produced sensor data are used in several Artificial Intelligence (AI) models to provide precise farming for soil microbiome and fertility, disease regulation, irrigation regulation, and pest regulation. It is important that the sensor data are correctly used in AI modeling. Unfortunately, no sensor is perfect. Even for the sensors manufactured from the same factory, they may yield different readings. This paper proposes a solution called SensorTalk to automatically detect potential sensor failures and calibrate the aging sensors semi-automatically. Numerical examples are given to show the calibration tables for temperature and humidity sensors. When the sensors control the actuators, the SensorTalk solution can also detect whether a failure occurs within a detection delay. Both analytic and simulation models are proposed to appropriately select the detection delay so that, when a potential failure occurs, it is detected reasonably early without incurring too many false alarms. Specifically, our selection can limit the false detection probability to be less than 0.7%. View Full-Text
Keywords: failure detection; sensor calibration; smart farming failure detection; sensor calibration; smart farming
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MDPI and ACS Style

Lin, Y.-B.; Lin, Y.-W.; Lin, J.-Y.; Hung, H.-N. SensorTalk: An IoT Device Failure Detection and Calibration Mechanism for Smart Farming. Sensors 2019, 19, 4788.

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