Automatic detection and quantification of wild game crop damage using an unmanned aerial vehicle (UAV) equipped with an optical sensor payload: a case study in wheat

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41320%2F18%3A78163" target="_blank" >RIV/60460709:41320/18:78163 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1080/22797254.2017.1419442" target="_blank" >http://dx.doi.org/10.1080/22797254.2017.1419442</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1080/22797254.2017.1419442" target="_blank" >10.1080/22797254.2017.1419442</a>

Result language
angličtina
Original language name
Automatic detection and quantification of wild game crop damage using an unmanned aerial vehicle (UAV) equipped with an optical sensor payload: a case study in wheat
Original language description
Wildlife-induced damage of agricultural crops is an unfavorable consequence of elevated population densities of wild animals, especially wild boars. For the purposes of financial compensations for crop damage, provided by either governments or hunters responsible for game numbers, it is necessary to precisely assess the range of damage and temporal change. The use of an unmanned aerial vehicle (UAV) with an optical sensor payload represents a potential method of obtaining data of crop conditions without the necessity to enter the field and increase the damage. We propose a novel method for delineation of damaged areas via automatic segmentation of the crop field. Our method is based on photogrammetric reconstruction of the various crop heights within the field through the use of Structure from Motion technique with subsequent automatic classification. In this case study of wheat, the range of damage was estimated with an accuracy of 99,5% and 99,3% using field global navigation satellite system (GNSS
Czech name
—
Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
20705 - Remote sensing

Project
<a href="/en/project/QJ1520187" target="_blank" >QJ1520187: Development of Unmanned Aerial Vehicles for forest monitoring</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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