Determining the optimal harvest time to corn crops using an unmanned drone with a multispectral camera
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00027006%3A_____%2F25%3A10179568" target="_blank" >RIV/00027006:_____/25:10179568 - isvavai.cz</a>
Result on the web
<a href="https://conference.ifas.ufl.edu/silage/documents/Silage-2025-Abstract-Compilation.pdf" target="_blank" >https://conference.ifas.ufl.edu/silage/documents/Silage-2025-Abstract-Compilation.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Determining the optimal harvest time to corn crops using an unmanned drone with a multispectral camera
Original language description
Vegetation monitoring using a drone with a multispectral camera allows comparing the maturity of the crop over time. Using a prediction model, it is possible to predict the development of vegetation for 3 to 6 days and determine the optimal harvest window for the monitored crop.
Czech name
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Czech description
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Classification
Type
O - Miscellaneous
CEP classification
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OECD FORD branch
40106 - Agronomy, plant breeding and plant protection; (Agricultural biotechnology to be 4.4)
Result continuities
Project
<a href="/en/project/QL24010237" target="_blank" >QL24010237: Cultivation of maize sown with narrow-row technology in the precision farming system (Agriculture 4.0) under climate change (GZK) - stabilization of roughage production and sustainable intensification of agricultural production in the Czech Republic</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů