Multi-Spectral Imaging from an Unmanned Aerial Vehicle Enables the Assessment of Seasonal Leaf Area Dynamics of Sorghum Breeding Lines.
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| Title: | Multi-Spectral Imaging from an Unmanned Aerial Vehicle Enables the Assessment of Seasonal Leaf Area Dynamics of Sorghum Breeding Lines. |
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| Authors: | Potgieter AB; Queensland Alliance for Agriculture and Food Innovation, University of QueenslandToowoomba, QLD, Australia., George-Jaeggli B; Queensland Alliance for Agriculture and Food Innovation, University of QueenslandWarwick, QLD, Australia.; Agri-Science Queensland, Department of Agriculture and FisheriesWarwick, QLD, Australia., Chapman SC; School of Agriculture and Food Sciences, University of QueenslandGatton, QLD, Australia.; CSIRO Agriculture and FoodSt. Lucia, QLD, Australia.; Queensland Alliance for Agriculture and Food Innovation, University of QueenslandSt. Lucia, QLD, Australia., Laws K; Agri-Science Queensland, Department of Agriculture and FisheriesWarwick, QLD, Australia., Suárez Cadavid LA; Queensland Alliance for Agriculture and Food Innovation, University of QueenslandToowoomba, QLD, Australia., Wixted J; Queensland Alliance for Agriculture and Food Innovation, University of QueenslandWarwick, QLD, Australia., Watson J; Queensland Alliance for Agriculture and Food Innovation, University of QueenslandToowoomba, QLD, Australia., Eldridge M; Queensland Alliance for Agriculture and Food Innovation, University of QueenslandWarwick, QLD, Australia., Jordan DR; Queensland Alliance for Agriculture and Food Innovation, University of QueenslandWarwick, QLD, Australia., Hammer GL; CSIRO Agriculture and FoodSt. Lucia, QLD, Australia. |
| Source: | Frontiers in plant science [Front Plant Sci] 2017 Sep 08; Vol. 8, pp. 1532. Date of Electronic Publication: 2017 Sep 08 (Print Publication: 2017). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Research Foundation Country of Publication: Switzerland NLM ID: 101568200 Publication Model: eCollection Cited Medium: Print ISSN: 1664-462X (Print) Linking ISSN: 1664462X NLM ISO Abbreviation: Front Plant Sci Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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