• Journal of Digital Convergence
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• v.18 no.8
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• pp.151-167
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• 2020

This study examined the factors affecting the behavioral intention for agricultural drone service. The survey results of 324 agricultural-related workers were analyzed using SPSS v22.0 and PROCESS macro v3.4. The effects of technology acceptance factors by UTAUT on the behavioral intention for agricultural drone service and the mediating effects of perceived benefits were analyzed. The results are as follows: First, the technology acceptance factors had positive (+) effects on perceived benefits and behavioral intention for agricultural drone service. Second, economics mediated between factors excluding performance expectancy and intention, convenience also mediated between factors excluding social influence and intention, and there was no significant mediating effect of practicality benefits. In the future, a further research is required for people trained in agriculture or drone or had a drone license.

• Electronics and Telecommunications Trends
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• v.33 no.4
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• pp.70-80
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• 2018

Drones are now widely used in civilian applications such as filming, leisure, agricultural control, monitoring, and the generation of 3D-spatial information, deviating only from military drones. In the field of logistics, prototypes are emerging in the area of logistics transportation, and to develop a future transportation service under the name of a drone tax, each country is introducing its first flight results using its own unique drones. In this paper, we review the domestic and overseas trends of drone delivery service technology, which requires various capabilities such as automatic flight, and review the related core technologies. We then propose the flight capability and road map of a drone delivery service according to the detailed conditions such as the flight area, visibility, and flight method. Additionally, in connection with the postal processing of the Korea Post Office, which would be a main demand for this type of service, we describe a method for realizing a drone delivery service based on the structure, scenario, and deployment of the drone delivery system.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.3
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• pp.491-498
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• 2018

As unmanned aerial vehicle(UVA), drone means a flying object that could aviate the route entered by a program in advance or remotely-controlled when a pilot is not on board. Drone that has been initially developed for the military purpose is currently used for diverse areas such as agricultural industry, leisure activity, logistics service, and life-saving area. Out of these areas, the shooting drone equipped with a camera is actively used for diverse image contents production areas including film and broadcasting area. This paper examines the characteristics of drone for the purpose of shooting, and also handles the shooting techniques using drone. Especially, this study aims to suggest and discuss the methods to shoot diverse camera working used by the existing image shooting with the use of drone after examining the operation of shooting drone used for the image contents production area.

• Journal of the Korean Society of Industry Convergence
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• v.26 no.6_2
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• pp.1073-1082
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• 2023

Thermal sensors, also called thermal infrared wavelength sensors, measure temperature based on the intensity of infrared signals that reach the sensor. The infrared signals recognized by the sensor include infrared wavelength(0.7~3.0㎛) and radiant infrared wavelength(3.0~100㎛). Infrared(IR) wavelengths are divided into five bands: near infrared(NIR), shortwave infrared(SWIR), midwave infrared(MWIR), longwave infrared(LWIR), and far infrared(FIR). Most thermal sensors use the LWIR to capture images. Thermal sensors measure the temperature of the target in a non-contact manner, and the data can be affected by the sensor's viewing angle between the target and the sensor, the amount of atmospheric water vapor (humidity), air temperature, and ground conditions. In this study, the characteristics of three thermal imaging sensor models that are widely used for observation using unmanned aerial vehicles were evaluated, and the optimal application field was determined.