Prediction accuracy and repeatability of UAV based biomass estimation in wheat variety trials as affected by variable type, modelling strategy and sampling location.
Saved in:
| 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 |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 1746-4811 |
|---|---|
| DOI: | 10.1186/s13007-024-01236-w |
