Data

Mango fruit on tree image collection

Central Queensland University
Alison Payne (Aggregated by) Kerry Walsh (Aggregated by) N Anderson (Aggregated by) Phul Subedi (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=10018/1042103&rft.title=Mango fruit on tree image collection&rft.identifier=10018/1042103&rft.publisher=Central Queensland University&rft.description=This collection of images of mango trees with fruit at stone hardening stage under artificial illumination have been used in a series of machine vision exercises, working towards an automated estimated of crop load. The images have been collected from different areas on one farm, from different seasons and from different farms/growing areas. Thus a set of images can be used in calibration of a machine vision approach, leaving independent sets for validation. The image sets have been used for this purpose, with work documented in three publications (noted elsewhere). It is anticipated that other researchers in the machine vision - crop load assessment area might use the images, benchmarking against results achieved to date.Geolocation DataValidation Set 2: Lat: 44 00 00 S Long: 068 00 00 WValidation Set 3: Lat: 17° 6' 37.1232 S Long: 145° 5' 16.296 ECalibration Set 3: Lat: 12° 46' 49.605S Long: 131° 1' 49.4868 E &rft.creator=Alison Payne&rft.creator=Kerry Walsh&rft.creator=N Anderson&rft.creator=Phul Subedi&rft.date=2021&rft_rights=CC-BY-3.0&rft_subject=B74 mango&rft_subject=Tree canopies&rft_subject=Mango images&rft_subject=Agricultural Land Management&rft_subject=Horticultural Crop Growth and Development&rft_subject=Agricultural land management&rft_subject=Horticultural crop growth and development&rft.type=dataset&rft.language=English Access the data
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This collection of images of mango trees with fruit at stone hardening stage under artificial illumination have been used in a series of machine vision exercises, working towards an automated estimated of crop load. The images have been collected from different areas on one farm, from different seasons and from different farms/growing areas. Thus a set of images can be used in calibration of a machine vision approach, leaving independent sets for validation. The image sets have been used for this purpose, with work documented in three publications (noted elsewhere). It is anticipated that other researchers in the machine vision - crop load assessment area might use the images, benchmarking against results achieved to date.

Geolocation Data
Validation Set 2: Lat: 44 00 00 S Long: 068 00 00 W
Validation Set 3: Lat: 17° 6' 37.1232" S Long: 145° 5' 16.296" E
Calibration Set 3: Lat: 12° 46' 49.605S" Long: 131° 1' 49.4868" E

Issued: 2009-01-01

Created: 2021-02-09

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Agricultural Land Management | Agricultural land management | B74 mango | Horticultural Crop Growth and Development | Horticultural crop growth and development | Mango images | Tree canopies |

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