SensorTalk: Extending the Life for Redundant Electrical Conductivity Sensor

Yi-Bing Lin*, Yun-Wei Lin

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Air and soil sensors are used in smart agriculture to autonomously collect the soil-related data. It is important that the measurements of the sensors are accurate. This paper uses Electrical Conductivity (EC) as an example to show how to avoid the inaccuracy due to EC sensor aging. We consider a promising solution that packages I redundant EC sensors in one device (I>1 ) called I-redundant EC sensor package. The redundant-sensor package outputs the measured data based on a voting process among I sensors, which makes soil measurement more accurate and reliable. Based on the I-redundantEC sensor package, this paper invents the first out-of-the-laboratory automatic calibration procedure in the farm field. We also propose the SensorTalk mechanism to extend the life of I-redundant EC sensor package through calibration. Most people have the illusion that the life of a redundant sensor package is longer than a non-redundant sensor. This paper proves that the life of a redundant-sensor package is shorter than its non-redundant counterpart. Then we propose the self-calibration process of the redundant-sensor package to extend its operation life. For example, if the life of a sensor in the Iredundant package is 6 months with the aging-after-calibration factor γ=0.9, then SensorTalk may extend its life to 52.2 months for I =9. We also shed some non-trivial insights. In many smart farming solutions, the sensors typically report the measured data with a frequency lower than one per 10 minutes. Our study indicates that by increasing the sampling frequency up to one per 20 seconds, calibration for an EC value can be sped up by 19 times. Our study also suggests that an odd I number should be chosen. If we add one more sensor to make an even I number, the life of the redundantsensor package is actually shortened.
Original languageAmerican English
Pages (from-to)16619
Number of pages16630
JournalIEEE Internet of Things Journal
Volume9
Issue number17
Early online dateFeb 2022
DOIs
StatePublished - Sep 2022

Keywords

  • Soil
  • soil measurements
  • Temperature measurement
  • Nitrogen
  • digital agriculture
  • Temperature sensors
  • Calibration

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