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      Application of a Drone Magnetometer System to Military Mine Detection in the Demilitarized Zone

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          Abstract

          We propose a magnetometer system fitted on an unmanned aerial vehicle (UAV, or drone) and a data-processing method for detecting metal antipersonnel landmines (M16) in the demilitarized zone (DMZ) in Korea, which is an undeveloped natural environment. The performance of the laser altimeter was improved so that the drone could fly at a low and stable altitude, even in a natural environment with dust and bushes, and a magnetometer was installed on a pendulum to minimize the effects of magnetic noise and vibration from the drone. At a flight altitude of 1 m, the criterion for M16 is 5 nT. Simple low-pass filtering eliminates magnetic swing noise due to pendulum motion, and the moving average method eliminates changes related to the heading of the magnetometer. Magnetic exploration was conducted in an actual mine-removal area near the DMZ in Korea, with nine magnetic anomalies of more than 5 nT detected and a variety of metallic substances found within a 1-m radius of each detection site. The proposed UAV-based landmine detection system is expected to reduce risk to detection personnel and shorten the landmine-detection period by providing accurate scientific information about the detection area prior to military landmine-detection efforts.

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          Unmanned Aerial Vehicles (UAVs): A Survey on Civil Applications and Key Research Challenges

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            A Review on UAV-Based Applications for Precision Agriculture

            Emerging technologies such as Internet of Things (IoT) can provide significant potential in Smart Farming and Precision Agriculture applications, enabling the acquisition of real-time environmental data. IoT devices such as Unmanned Aerial Vehicles (UAVs) can be exploited in a variety of applications related to crops management, by capturing high spatial and temporal resolution images. These technologies are expected to revolutionize agriculture, enabling decision-making in days instead of weeks, promising significant reduction in cost and increase in the yield. Such decisions enable the effective application of farm inputs, supporting the four pillars of precision agriculture, i.e., apply the right practice, at the right place, at the right time and with the right quantity. However, the actual proliferation and exploitation of UAVs in Smart Farming has not been as robust as expected mainly due to the challenges confronted when selecting and deploying the relevant technologies, including the data acquisition and image processing methods. The main problem is that still there is no standardized workflow for the use of UAVs in such applications, as it is a relatively new area. In this article, we review the most recent applications of UAVs for Precision Agriculture. We discuss the most common applications, the types of UAVs exploited and then we focus on the data acquisition methods and technologies, appointing the benefits and drawbacks of each one. We also point out the most popular processing methods of aerial imagery and discuss the outcomes of each method and the potential applications of each one in the farming operations.
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              Are unmanned aircraft systems (UASs) the future of wildlife monitoring? A review of accomplishments and challenges

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                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                Sensors (Basel)
                Sensors (Basel)
                sensors
                Sensors (Basel, Switzerland)
                MDPI
                1424-8220
                03 May 2021
                May 2021
                : 21
                : 9
                : 3175
                Affiliations
                [1 ]Korea Institute Ocean Science & Technology, Busan 49111, Korea; yools@ 123456kiost.ac.kr (L.-S.Y.); leejunghan@ 123456kiost.ac.kr (J.-H.L.); yklee@ 123456kiost.ac.kr (Y.-K.L.); skjung@ 123456kiost.ac.kr (S.-K.J.)
                [2 ]Department of Energy Resources Engineering, Pukyong National University, Busan 48513, Korea
                [3 ]Department of Electronic Engineering, Sogang University, Seoul 04107, Korea
                Author notes
                [* ]Correspondence: energy@ 123456pknu.ac.kr ; Tel.: +82-51-629-6562; Fax: +82-51-629-6553
                Author information
                https://orcid.org/0000-0002-1974-8807
                https://orcid.org/0000-0001-9616-3725
                Article
                sensors-21-03175
                10.3390/s21093175
                8125094
                9fae38d6-78a4-4d14-a43a-420178817c18
                © 2021 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( https://creativecommons.org/licenses/by/4.0/).

                History
                : 13 April 2021
                : 29 April 2021
                Categories
                Communication

                Biomedical engineering
                drone,landmine,magnetometer,demilitarized zone
                Biomedical engineering
                drone, landmine, magnetometer, demilitarized zone

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