Utilisation of unmanned aerial vehicle imagery to assess growth parameters in mungbean (Vigna radiata (L.) Wilczek)
Article
Article Title | Utilisation of unmanned aerial vehicle imagery to assess growth parameters in mungbean (Vigna radiata (L.) Wilczek) |
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ERA Journal ID | 5177 |
Article Category | Article |
Authors | Xiong, Yiyi, Chiau, Lucas Mauro Rogerio, Wenham, Kylie, Collins, Marisa and Chapman, Scott C. |
Journal Title | Crop and Pasture Science |
Journal Citation | 75 (1) |
Article Number | CP22335 |
Number of Pages | 15 |
Year | 2024 |
Publisher | CSIRO Publishing |
Place of Publication | Australia |
ISSN | 0004-9409 |
1836-0947 | |
1836-5795 | |
Digital Object Identifier (DOI) | https://doi.org/10.1071/CP22335 |
Web Address (URL) | https://www.publish.csiro.au/CP/CP22335 |
Abstract | Context Aims Methods Key results Conclusion Implication |
Keywords | biomass; fractional light interception; leaf area; mungbean physiology; radiation use efficiency; RGB images and vegetation indices |
Related Output | |
Is supplemented by | Corrigendum to: Utilisation of unmanned aerial vehicle imagery to assess growth parameters in mungbean (Vigna radiata (L.) Wilczek) |
Contains Sensitive Content | Does not contain sensitive content |
ANZSRC Field of Research 2020 | 3099. Other agricultural, veterinary and food sciences |
Public Notes | This article has been corrected. Please see the Related Output. |
Byline Affiliations | University of Queensland |
Eduardo Mondlane University, Mozambique | |
La Trobe University |
https://research.usq.edu.au/item/zwxy0/utilisation-of-unmanned-aerial-vehicle-imagery-to-assess-growth-parameters-in-mungbean-vigna-radiata-l-wilczek
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