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Accuracy Analysis of Farm Business Management Database Using Unmanned Aerial Vehicle and Field Survey

무인항공기 영상과 현장 조사를 통한 농업경영체 데이터베이스 정확도 분석

  • Park, Jin-Ki (Dept. of Agricultural and Rural Engineering, Chungbuk National University) ;
  • Park, Jong-Hwa (Dept. of Agricultural and Rural Engineering, Chungbuk National University)
  • 박진기 (충북대학교 농업생명환경대학 지역건설공학과) ;
  • 박종화 (충북대학교 농업생명환경대학 지역건설공학과)
  • Received : 2017.01.23
  • Accepted : 2017.02.09
  • Published : 2017.02.28

Abstract

The purpose of this study is to analyze the accuracy of cultivated crop database in agricultural farm business using UAV(Unmanned Aerial Vehicle) and field survey over Daesso-myeon, Umsung-gun, Chungbuk. When comparing with agricultural farm business and cadastral maps, Daeso-myeon crop field shows 29.8%(2,030 parcels out of 6,822 parcels) is either mismatched or missing. It covers almost 19.3%($3.4km^2$ of $17.6km^2$) of total farmland. In order to solve these problems, it is necessary to prepare a multifaceted plan including cadastral map. Comparative analysis of the cultivated crop registered in the agricultural farm business and the field survey agreed only in 3,622 parcels in total 6,822 parcels whereas 3200 parcels disagree. Among these disagreed parcels 2,030(29.8%) have been confirmed as unregistered farm business entity. Accuracy of cultivated crop registered in agricultural farm business agreed in 75.6% cases. Especially the paddy field registration is more accurate that other crops. These discrepancies can lead to false payment in agricultural farm business. For exploration and analysis of regional resources, UAV images can be used together with farm business management database and cadastral map to get a clearer grasp over on-site resources and conditions.

Keywords

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