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Towards operational UAV-based forest health monitoring: Species identification and crown condition assessment by means of deep learning.

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Title: Towards operational UAV-based forest health monitoring: Species identification and crown condition assessment by means of deep learning.
Authors: Ecke, Simon1,2, simon.ecke@wwd.uni-freiburg.de, Stehr, Florian3, Frey, Julian2, Tiede, Dirk4, Dempewolf, Jan1, Klemmt, Hans-Joachim1, Endres, Ewald3, Seifert, Thomas1,5
Source: Computers & Electronics in Agriculture; Apr2024, Vol. 219, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 176246947
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: <searchLink fieldCode="JN" term="%22Computers+%26+Electronics+in+Agriculture%22">Computers & Electronics in Agriculture</searchLink>; Apr2024, Vol. 219, pN.PAG-N.PAG, 1p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=176246947
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.compag.2024.108785
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      – Code: eng
        Text: English
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        PageCount: 1
        StartPage: N.PAG
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      – TitleFull: Towards operational UAV-based forest health monitoring: Species identification and crown condition assessment by means of deep learning.
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            NameFull: Ecke, Simon
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            – D: 01
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              Text: Apr2024
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              Y: 2024
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              Value: 219
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            – TitleFull: Computers & Electronics in Agriculture
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