Full description
This dataset provides frequent measurements of canopy temperature using infra-red thermal sensors placed in wheat experimental plots across multiple locations for a period of four years. The high-temporal frequency of the measurements, taken every 10 minutes, allows for detailed monitoring of canopy temperature variations. Canopy stress, such as drought or disease, often manifests as changes in temperature. By analysing this dataset, researchers can assess and quantify canopy stress levels in different locations. Additionally, the inclusion of a check variety within each experimental plot allows for the comparison of stress levels at a MET (Multi-Environment Trial) level. This means that researchers can evaluate the impact of various environmental conditions on canopy stress and compare the stress levels across different locations, providing valuable insights for crop management and breeding programs.Issued: 2023
Data time period: 2020 to 2023
Data time period:
Data collected from: 2020-01-01T00:00:00Z
Data collected to: 2023-01-01T00:00:00Z
Subjects
Agricultural, Veterinary and Food Sciences |
Agricultural Production Systems Simulation |
Agricultural Spatial Analysis and Modelling |
Agriculture, Land and Farm Management |
Canopy temperature |
Crop and Pasture Improvement (Incl. Selection and Breeding) |
Crop and Pasture Production |
Infra-red thermal sensor |
Multi-Environment Trial |
eng |
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Other Information
Research Data Collections
local : UQ:289097
GRDC Data Collections
local : UQ:06510ce
Identifiers
- Local : RDM ID: dd68bf30-1ed9-11ee-9686-ebd358822312
- DOI : 10.48610/EF6A465
