Intelligent identification on cotton verticillium wilt based on spectral and image feature fusion
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource, 1 online resource.
- Sprache
-
Englisch
- Erschienen in
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Intelligent identification on cotton verticillium wilt based on spectral and image feature fusion ; volume:19 ; number:1 ; day:29 ; month:7 ; year:2023 ; pages:1-16 ; date:12.2023
Plant methods ; 19, Heft 1 (29.7.2023), 1-16, 12.2023
- Urheber
-
Lu, Zhihao
Huang, Shihao
Zhang, Xiaojun
shi, Yuxuan
Yang, Wanneng
Zhu, Longfu
Huang, Chenglong
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
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10.1186/s13007-023-01056-4
- URN
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urn:nbn:de:101:1-2023103111303480291275
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
03.12.2025, 09:46 MEZ
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Beteiligte
- Lu, Zhihao
- Huang, Shihao
- Zhang, Xiaojun
- shi, Yuxuan
- Yang, Wanneng
- Zhu, Longfu
- Huang, Chenglong
- SpringerLink (Online service)
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First report of Verticillium wilt on cultivated radish caused by Verticillium dahliae Kleb. in China
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Efficacy evaluation and mechanism of Bacillus subtilis EBS03 against cotton Verticillium wilt
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Natural SNP Variation in GbOSM1 Promotor Enhances Verticillium Wilt Resistance in Cotton
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Pseudomonas species isolated via high-throughput screening significantly protect cotton plants against verticillium wilt
Verticillium wilt caused by Verticillium dahliae in woody plants with emphasis on olive and shade trees
Pan-genome analysis of GT64 gene family and expression response to Verticillium wilt in cotton
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Effect of volatile compounds produced by the cotton endophytic bacterial strain Bacillus sp. T6 against Verticillium wilt
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