Data

Ladybird Cobbitty 2017 Brassica Dataset

The University of Sydney
Dr Asher Bender (Principal investigator, Aggregated by) Associate Professor Brett Whelan (Aggregated by) Professor Salah Sukkarieh (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:doi10.25910/5c941d0c8bccb&rft.title=Ladybird Cobbitty 2017 Brassica Dataset&rft.identifier=http://hdl.handle.net/2123/20187&rft.publisher=The University of Sydney&rft.description=This data set contains weekly scans of cauliflower and broccoli covering a ten week growth cycle from transplant to harvest. The data set includes ground-truth, physical characteristics of the crop; environmental data collected by a weather station and a soil-senor network; and scans of the crop performed by an autonomous agricultural robot, which include stereo colour, thermal and hyperspectral imagery. The crop were planted at Lansdowne Farm, a University of Sydney agricultural research and teaching facility. Lansdowne Farm is located in Cobbitty, a suburb 70km south-west of Sydney in New South Wales (NSW), Australia. Four 80 metre raised crop beds were prepared with a North-South orientation. Approximately 144 Brassica were planted in each bed. Cauliflower were planted in the first and third bed (from west to east). Broccoli were planted in the second and fourth beds.&rft.creator=Dr Asher Bender&rft.date=2019&rft.coverage=150.684692,-34.015198&rft_rights=Creative Commons Attribution-NonCommercial-ShareAlike https://creativecommons.org/licenses/by-nc-sa/3.0/au/&rft_subject=Horticultural Crop Growth and Development&rft_subject=AGRICULTURAL AND VETERINARY SCIENCES&rft_subject=HORTICULTURAL PRODUCTION&rft_subject=Agricultural Engineering&rft_subject=ENGINEERING&rft_subject=OTHER ENGINEERING&rft_subject=Computer Vision&rft_subject=INFORMATION AND COMPUTING SCIENCES&rft_subject=ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING&rft_subject=Image Processing&rft_subject=Vegetables &rft.type=dataset&rft.language=English Access the data
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Licence & Rights:

Non-Commercial Licence view details
CC-BY-NC-SA

Creative Commons Attribution-NonCommercial-ShareAlike
https://creativecommons.org/licenses/by-nc-sa/3.0/au/

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Full description

This data set contains weekly scans of cauliflower and broccoli covering a ten week growth cycle from transplant to harvest. The data set includes ground-truth, physical characteristics of the crop; environmental data collected by a weather station and a soil-senor network; and scans of the crop performed by an autonomous agricultural robot, which include stereo colour, thermal and hyperspectral imagery. The crop were planted at Lansdowne Farm, a University of Sydney agricultural research and teaching facility. Lansdowne Farm is located in Cobbitty, a suburb 70km south-west of Sydney in New South Wales (NSW), Australia. Four 80 metre raised crop beds were prepared with a North-South orientation. Approximately 144 Brassica were planted in each bed. Cauliflower were planted in the first and third bed (from west to east). Broccoli were planted in the second and fourth beds.

Created: 12 10 2017 to 14 12 2017

Issued: 22 03 2019

Data time period: 12 10 2019 to 14 12 2017

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151.18469,-33.8985

151.184692,-33.898499

150.68469,-34.0152

150.684692,-34.015198

Subjects
Agricultural and Veterinary Sciences | Artificial Intelligence and Image Processing | Agricultural Engineering | Computer Vision | Engineering | Horticultural Production | Horticultural Crop Growth and Development | Information and Computing Sciences | Image Processing | Other Engineering | Vegetables |

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