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Prediction accuracy and repeatability of UAV based biomass estimation in wheat variety trials as affected by variable type, modelling strategy and sampling location.

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Title: Prediction accuracy and repeatability of UAV based biomass estimation in wheat variety trials as affected by variable type, modelling strategy and sampling location.
Authors: Smith DTL; School of Agriculture and Food Sustainability, The University of Queensland, St Lucia, QLD, 4072, Australia. daniel.smith3@uq.edu.au., Chen Q; School of Agriculture and Food Sustainability, The University of Queensland, St Lucia, QLD, 4072, Australia., Massey-Reed SR; Center for Crop Science, Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, St Lucia, QLD, 4072, Australia., Potgieter AB; Center for Crop Science, Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, St Lucia, QLD, 4072, Australia., Chapman SC; School of Agriculture and Food Sustainability, The University of Queensland, St Lucia, QLD, 4072, Australia. scott.chapman@uq.edu.au.
Source: Plant methods [Plant Methods] 2024 Aug 20; Vol. 20 (1), pp. 129. Date of Electronic Publication: 2024 Aug 20.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 101245798 Publication Model: Electronic Cited Medium: Print ISSN: 1746-4811 (Print) Linking ISSN: 17464811 NLM ISO Abbreviation: Plant Methods Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Smith+DTL%22">Smith DTL</searchLink>; School of Agriculture and Food Sustainability, The University of Queensland, St Lucia, QLD, 4072, Australia. daniel.smith3@uq.edu.au.<br /><searchLink fieldCode="AU" term="%22Chen+Q%22">Chen Q</searchLink>; School of Agriculture and Food Sustainability, The University of Queensland, St Lucia, QLD, 4072, Australia.<br /><searchLink fieldCode="AU" term="%22Massey-Reed+SR%22">Massey-Reed SR</searchLink>; Center for Crop Science, Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, St Lucia, QLD, 4072, Australia.<br /><searchLink fieldCode="AU" term="%22Potgieter+AB%22">Potgieter AB</searchLink>; Center for Crop Science, Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, St Lucia, QLD, 4072, Australia.<br /><searchLink fieldCode="AU" term="%22Chapman+SC%22">Chapman SC</searchLink>; School of Agriculture and Food Sustainability, The University of Queensland, St Lucia, QLD, 4072, Australia. scott.chapman@uq.edu.au.
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  Data: <searchLink fieldCode="JN" term="%22101245798%22">Plant methods</searchLink> [Plant Methods] 2024 Aug 20; Vol. 20 (1), pp. 129. <i>Date of Electronic Publication: </i>2024 Aug 20.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22BioMed+Central%22">BioMed Central </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101245798 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Print <i>ISSN: </i>1746-4811 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2217464811%22">17464811 </searchLink><i>NLM ISO Abbreviation: </i>Plant Methods <i>Subsets: </i>PubMed not MEDLINE
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        Value: 10.1186/s13007-024-01236-w
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              Text: 2024 Aug 20
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