Data

INVITA Plot photo data set

The University of Queensland
Dr Javier Fernandez (Aggregated by) Dr Javier Fernandez (Aggregated by) Ms Carla Gho Brito (Aggregated by) Professor Scott Chapman (Aggregated by) Professor Scott Chapman (Aggregated by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.48610/f5e1414&rft.title=INVITA Plot photo data set&rft.identifier=RDM ID: 5adaa880-1ed9-11ee-a959-c99f0519f92f&rft.publisher=The University of Queensland&rft.description=This dataset includes plot level photographs captured from consumer mobile phones in the GRDC’s National Variety Trials across 3 seasons, and more than 100 experimental sites. The dataset includes more than 200,000 images of wheat experimental plots. Plot-level imagery taken from handheld devices can be used for vegetation classification and object detection tasks, which enables the computation of important traits such as fractional cover, the detection and counting of heads, and the identification of diseases. Since this dataset includes imagery taken at multiple times with each season, analysis of the temporal dynamics of such traits can be made from which GxExM interactions can be inferred.&rft.creator=Dr Javier Fernandez&rft.creator=Dr Javier Fernandez&rft.creator=Ms Carla Gho Brito&rft.creator=Professor Scott Chapman&rft.creator=Professor Scott Chapman&rft.date=2023&rft_rights= http://guides.library.uq.edu.au/deposit_your_data/terms_and_conditions&rft_subject=eng&rft_subject=Mobile phone photograhs&rft_subject=GxExM interactions&rft_subject=Agricultural production systems simulation&rft_subject=Agriculture, land and farm management&rft_subject=AGRICULTURAL, VETERINARY AND FOOD SCIENCES&rft_subject=Agricultural spatial analysis and modelling&rft_subject=Crop and pasture improvement (incl. selection and breeding)&rft_subject=Crop and pasture production&rft.type=dataset&rft.language=English Access the data
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carla.gho@uq.edu.au
School of Agriculture and Food Sciences

Full description

This dataset includes plot level photographs captured from consumer mobile phones in the GRDC’s National Variety Trials across 3 seasons, and more than 100 experimental sites. The dataset includes more than 200,000 images of wheat experimental plots. Plot-level imagery taken from handheld devices can be used for vegetation classification and object detection tasks, which enables the computation of important traits such as fractional cover, the detection and counting of heads, and the identification of diseases. Since this dataset includes imagery taken at multiple times with each season, analysis of the temporal dynamics of such traits can be made from which GxExM interactions can be inferred.

Issued: 2023

Data time period: 2020 to 2024

Data time period: Data collected from: 2020-01-01T00:00:00Z
Data collected to: 2024-01-01T00:00:00Z

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Subjects
Agricultural, Veterinary and Food Sciences | Agricultural Production Systems Simulation | Agricultural Spatial Analysis and Modelling | Agriculture, Land and Farm Management | Crop and Pasture Improvement (Incl. Selection and Breeding) | Crop and Pasture Production | GxExM interactions | Mobile phone photograhs | eng |

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local : UQ:289097

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local : UQ:06510ce

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