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

Lin, Yi‐Bing; Lin, Jiun-Yi; Hung, Hui-Nien

doi:10.3390/s19214788

Cited by 42 publications

(25 citation statements)

References 17 publications

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“…A mutual-test consists of at least one sensor and one actuator under test [ 23 ]. An example is the window control where the CO 2 sensor ( Figure 16 a) controls an electric window ( Figure 16 b) to enhance the air quality in a room [ 24 ].…”

Section: The Spectalk Acceptance Testsmentioning

confidence: 99%

SpecTalk: Conforming IoT Implementations to Sensor Specifications

Lin

Chou

2021

Sensors

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Due to the fast evolution of Sensor and Internet of Things (IoT) technologies, several large-scale smart city applications have been commercially developed in recent years. In these developments, the contracts are often disputed in the acceptance due to the fact that the contract specification is not clear, resulting in a great deal of discussion of the gray area. Such disputes often occur in the acceptance processes of smart buildings, mainly because most intelligent building systems are expensive and the operations of the sub-systems are very complex. This paper proposes SpecTalk, a platform that automatically generates the code to conform IoT applications to the Taiwan Association of Information and Communication Standards (TAICS) specifications. SpecTalk generates a program to accommodate the application programming interface of the IoT devices under test (DUTs). Then, the devices can be tested by SpecTalk following the TAICS data formats. We describe three types of tests: self-test, mutual-test, and visual test. A self-test involves the sensors and the actuators of the same DUT. A mutual-test involves the sensors and the actuators of different DUTs. A visual-test uses a monitoring camera to investigate the actuators of multiple DUTs. We conducted these types of tests in commercially deployed applications of smart campus constructions. Our experiments in the tests proved that SpecTalk is feasible and can effectively conform IoT implementations to TACIS specifications. We also propose a simple analytic model to select the frequency of the control signals for the input patterns in a SpecTalk test. Our study indicates that it is appropriate to select the control signal frequency, such that the inter-arrival time between two control signals is larger than 10 times the activation delay of the DUT.

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Section: The Spectalk Acceptance Testsmentioning

confidence: 99%

SpecTalk: Conforming IoT Implementations to Sensor Specifications

Lin

Chou

2021

Sensors

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“…However, the problem is the false detection probability of IoT sensors to the gateway. Then, the authors in [19] have presented a solution called SensorTalk to automatically detect the potential sensor failures and semi-automatically calibrate the aging sensors. The solution showed that the false detection probability of IoT sensors to the gateway was reduced to less than 0.7 %.…”

Section: Smart Farmingmentioning

confidence: 99%

Development of Soil Moisture Monitoring by using IoT and UAV-SC for Smart Farming Application

Duangsuwan¹,

Teekapakvisit²,

Maw³

2020

Adv. sci. technol. eng. syst. j.

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Soil moisture is a fundamental factor for smart farming that is used to control the water management system. In this paper, the unmanned aerial vehicle (UAV) small cell (UAV-SC) can provide Internet of things (IoT) as the hotspot mobility network, due to the minimum limitation energy of connected IoT. The development of ground sensor (GS) communicates to the UAV-SC called GS-UAV-SC model for soil moisture monitoring is proposed to smart farming. UAV-SC aims to fulfill the data collection task with a limitation of GSs power. In the experiment, the two case scenarios: Napier grass farm and Ruzi grass farm are implemented. The result of soil moisture status is demonstrated as an example of data in real time on a mobile application monitoring system. The proposed system is useful for users/farmers to know the soil moisture data quickly for smart farming applications.

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“…To overcome high environmental temperatures, many solutions have recently been suggested by various countries. These include the building of smart farms that are controlled by computer systems based on artificial intelligence (AI) and the development of genetically engineered crops [10][11][12]. However, most of these technologies have numerous limitations, such as high cost, large space requirements, and human health and safety concerns [13].…”

Section: Introductionmentioning

confidence: 99%

Crop Enhancement of Cucumber Plants under Heat Stress by Shungite Carbon

Kim

Lee

2020

IJMS

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Heat stress negatively impacts plant growth and yield. The effects of carbon materials on plants in response to abiotic stress and antioxidant activity are poorly understood. In this study, we propose a new method for improving heat tolerance in cucumber (Cucumis sativus L.) using a natural carbon material, shungite, which can be easily mixed into any soil. We analyzed the phenotype and physiological changes in cucumber plants maintained at 35 °C or 40 °C for 1 week. Our results show that shungite-treated cucumber plants had a healthier phenotype, exhibiting dark green leaves, compared to the plants in the control soil group. Furthermore, in the shungite-treated plants, the monodehydroascorbate content (a marker of oxidative damage) of the leaf was 34% lower than that in the control group. In addition, scavengers against reactive oxygen species, such as superoxide dismutase, catalase, and peroxidase were significantly upregulated. These results indicate that the successive pre-treatment of soil with a low-cost natural carbon material can improve the tolerance of cucumber plants to heat stress, as well as improve the corresponding antioxidant activity.

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

Cited by 42 publications

References 17 publications

SpecTalk: Conforming IoT Implementations to Sensor Specifications

SpecTalk: Conforming IoT Implementations to Sensor Specifications

Development of Soil Moisture Monitoring by using IoT and UAV-SC for Smart Farming Application

Crop Enhancement of Cucumber Plants under Heat Stress by Shungite Carbon

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