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http://dx.doi.org/10.7851/ksrp.2017.23.1.021

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

Park, Jin-Ki (Dept. of Agricultural and Rural Engineering, Chungbuk National University)
Park, Jong-Hwa (Dept. of Agricultural and Rural Engineering, Chungbuk National University)
Publication Information
Journal of Korean Society of Rural Planning / v.23, no.1, 2017 , pp. 21-29 More about this Journal
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
Farm Business; Database; Field Survey; Cadastral Map; Unmaned Aerial Vehicle;
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Times Cited By KSCI : 3  (Citation Analysis)
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