Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Key Elements for Plant Nutrition02:35

Key Elements for Plant Nutrition

23.8K
Like all living organisms, plants require organic and inorganic nutrients to survive, reproduce, grow and maintain homeostasis. To identify nutrients that are essential for plant functioning, researchers have leveraged a technique called hydroponics. In hydroponic culture systems, plants are grown—without soil—in water-based solutions containing nutrients. At least 17 nutrients have been identified as essential elements required by plants. Plants acquire these elements from the...
23.8K
Control Systems01:10

Control Systems

1.7K
Control systems are everywhere in contemporary society, influencing diverse applications from aerospace to automated manufacturing. These systems can be found naturally within biological processes, such as blood sugar regulation and heart rate adjustment in response to stress, as well as in man-made systems like elevators and automated vehicles. A control system is essentially a network of subsystems and processes that collaboratively convert specific inputs into desired outputs.
At the heart...
1.7K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

The implementation of the Infection Control Map-an integrated, visual online information system-enhanced infection control practices and reduced the incidence of multidrug-resistant organisms in a medical intensive care unit.

Journal of microbiology, immunology, and infection = Wei mian yu gan ran za zhi·2026
Same author

An AIoT enabled system for optimizing data retrieval in the intensive care unit evaluated in a randomized crossover pilot trial.

Scientific reports·2025
Same author

Design and Implementation of an Intensive Care Unit Command Center for Medical Data Fusion.

Sensors (Basel, Switzerland)·2024
Same author

An Edge Transfer Learning Approach for Calibrating Soil Electrical Conductivity Sensors.

Sensors (Basel, Switzerland)·2023
Same author

SpecTalk: Conforming IoT Implementations to Sensor Specifications.

Sensors (Basel, Switzerland)·2021
Same author

AMBtalk: A Cardiovascular IoT Device for Ambulance Applications.

Sensors (Basel, Switzerland)·2021

Related Experiment Video

Updated: Jan 4, 2026

In Situ Soil Moisture Sensors in Undisturbed Soils
08:20

In Situ Soil Moisture Sensors in Undisturbed Soils

Published on: November 18, 2022

7.3K

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

Yi-Bing Lin1, Yun-Wei Lin2, Jiun-Yi Lin3

  • 1Department of Computer Science, National Chiao Tung University, Hsinchu 300, Taiwan. liny@nctu.edu.tw.

Sensors (Basel, Switzerland)
|November 7, 2019
PubMed
Summary

SensorTalk enhances Internet of Things (IoT) systems by automatically detecting sensor failures and semi-automatically calibrating aging sensors. This ensures accurate data for Artificial Intelligence (AI) models in applications like smart farming.

Keywords:
failure detectionsensor calibrationsmart farming

More Related Videos

Robotic Sensing and Stimuli Provision for Guided Plant Growth
08:02

Robotic Sensing and Stimuli Provision for Guided Plant Growth

Published on: July 1, 2019

8.4K
Continuous Instream Monitoring of Nutrients and Sediment in Agricultural Watersheds
12:50

Continuous Instream Monitoring of Nutrients and Sediment in Agricultural Watersheds

Published on: September 26, 2017

11.7K

Related Experiment Videos

Last Updated: Jan 4, 2026

In Situ Soil Moisture Sensors in Undisturbed Soils
08:20

In Situ Soil Moisture Sensors in Undisturbed Soils

Published on: November 18, 2022

7.3K
Robotic Sensing and Stimuli Provision for Guided Plant Growth
08:02

Robotic Sensing and Stimuli Provision for Guided Plant Growth

Published on: July 1, 2019

8.4K
Continuous Instream Monitoring of Nutrients and Sediment in Agricultural Watersheds
12:50

Continuous Instream Monitoring of Nutrients and Sediment in Agricultural Watersheds

Published on: September 26, 2017

11.7K

Area of Science:

  • Internet of Things (IoT) and Sensor Networks
  • Artificial Intelligence (AI) and Machine Learning
  • Agricultural Technology and Precision Farming

Background:

  • Accurate sensor data is crucial for meaningful results in Internet of Things (IoT) systems, particularly in AI-driven applications like smart farming.
  • Variability in sensor readings, even from the same manufacturer, necessitates robust methods for failure detection and calibration.
  • Existing systems may struggle with sensor imperfections, impacting the reliability of AI models in critical applications.

Purpose of the Study:

  • To propose SensorTalk, a novel solution for automatic detection of sensor failures and semi-automatic calibration of aging sensors in IoT environments.
  • To ensure the integrity and accuracy of sensor data used in Artificial Intelligence (AI) models for precision agriculture.
  • To develop methods for selecting an appropriate detection delay to balance early failure identification with minimizing false alarms.

Main Methods:

  • Development of the SensorTalk system for automated sensor failure detection and semi-automated calibration.
  • Generation of numerical examples demonstrating calibration tables for temperature and humidity sensors.
  • Proposal of both analytic and simulation models to determine optimal detection delays for sensor-actuator systems.

Main Results:

  • SensorTalk effectively detects potential sensor failures and facilitates semi-automatic calibration, improving data quality.
  • Calibration tables for common sensors like temperature and humidity were generated, showcasing practical application.
  • The proposed models enable the selection of a detection delay that limits false detection probability to less than 0.7%.

Conclusions:

  • SensorTalk provides a viable solution to address sensor inaccuracies in IoT systems, enhancing the reliability of AI-powered applications.
  • The developed methodology for selecting detection delays ensures timely and accurate identification of sensor failures with a low false alarm rate.
  • This work contributes to more dependable smart farming and other IoT applications by improving sensor data quality and system robustness.