Ladybird Cobbitty 2017 Brassica Dataset
Access status:
Open Access
File/s
autonomous_20171012_week_01.7z
autonomous_20171019_week_02.7z
autonomous_20171025_week_03.7z
autonomous_20171101_week_04.7z
autonomous_20171108_week_05.7z
autonomous_20171115_week_06.7z
autonomous_20171122_week_07.7z
autonomous_20171129_week_08.7z
autonomous_20171207_week_09.7z
autonomous_20171214_week_10.7z
autonomous_annotations_calibrations_and_example_code.7z
insitu.7z
manual.7z
autonomous_20171019_week_02.7z
autonomous_20171025_week_03.7z
autonomous_20171101_week_04.7z
autonomous_20171108_week_05.7z
autonomous_20171115_week_06.7z
autonomous_20171122_week_07.7z
autonomous_20171129_week_08.7z
autonomous_20171207_week_09.7z
autonomous_20171214_week_10.7z
autonomous_annotations_calibrations_and_example_code.7z
insitu.7z
manual.7z
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http://hdl.handle.net/2123/20187Metadata
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DatasetAbstract
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 ...
See moreThis 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. 2019-03-21 - Original upload. 2020-04-02 - Dataset Updated Update README.txt files for JFR reference. Include annotation and calibration files. Include example code. ChangeLog.txt: Changelog added. autonomous/annotations/: Added directory containing bounding-box image annotations of cauliflower and broccoli across all four beds and all ten weeks. autonomous/calibrations/: Added directory containing Ladybird calibration data. autonomous/example_code/: Added directory of Jupyter Notebooks (Python3) for loading and viewing Ladybird sensor data.
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See moreThis 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. 2019-03-21 - Original upload. 2020-04-02 - Dataset Updated Update README.txt files for JFR reference. Include annotation and calibration files. Include example code. ChangeLog.txt: Changelog added. autonomous/annotations/: Added directory containing bounding-box image annotations of cauliflower and broccoli across all four beds and all ten weeks. autonomous/calibrations/: Added directory containing Ladybird calibration data. autonomous/example_code/: Added directory of Jupyter Notebooks (Python3) for loading and viewing Ladybird sensor data.
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Date
2019-03-21Publisher
The University of SydneyLicence
Creative Commons Attribution-NonCommercial-ShareAlike 4.0Faculty/School
Faculty of Engineering and Information TechnologiesShare
Licence