Comparison of methods for estimating damage by wild ungulates on field crops
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00020702%3A_____%2F23%3AN0000072" target="_blank" >RIV/00020702:_____/23:N0000072 - isvavai.cz</a>
Alternative codes found
RIV/62156489:43410/23:43923551
Result on the web
<a href="https://www.mdpi.com/2077-0472/13/6/1184" target="_blank" >https://www.mdpi.com/2077-0472/13/6/1184</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/agriculture13061184" target="_blank" >10.3390/agriculture13061184</a>
Alternative languages
Result language
angličtina
Original language name
Comparison of methods for estimating damage by wild ungulates on field crops
Original language description
High numbers of large ungulates are locally accompanied by high levels of damage to field crops, causing economic losses and increased costs for the protection of agricultural fields. Quantifying the levels of damage can be problematic, with the degree of accuracy depending on the method used. The aim of this study was to compare the accuracy, workload and cost of four methods commonly used for estimating damage to wheat fields caused by large ungulates (esp. wild boar) in the Czech Republic. The results suggest that the manual processing of aerial photographs ("Uncrewed Aerial Systems [UAS] with Operator Delineation Method") was very laborious and the least accurate method, with a high risk of error. In comparison, the automatic evaluation of aerial images ("UAS Crop Height Method") and the "Ground-Based Assessment" both provided similar results when carefully analyzed and were equally demanding. The "Yield Method", comparing the net yield from damaged and undamaged areas, provided the same result of assessment and was the least laborious, although it does require the existence of comparable areas and for the conditions to be created in advance before the method is used. Equivalent results were achieved by the UAS Crop Height Method, which we recommend using in cases where the Yield Method cannot be applied.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
40102 - Forestry
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Agriculture - Basel
ISSN
2077-0472
e-ISSN
2077-0472
Volume of the periodical
13
Issue of the periodical within the volume
6
Country of publishing house
CH - SWITZERLAND
Number of pages
11
Pages from-to
1184
UT code for WoS article
001013874500001
EID of the result in the Scopus database
2-s2.0-85163890790