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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:doi10.5072/81/58ed6f96b9847&rft.title=Mango fruit on tree image collection&rft.identifier=http://dx.doi.org/10.5072/81/58ed6f96b9847&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.This data is broken into 6 zip files and are grouped as follows in the source links: 1.Calibration Set.zip 2. SetCountsandLicense.zip 3. Validation Set 1.zip 4. Validation Set 2.zip 5. Validation Set 3.zip 6. Validation Set 4.zip&rft.creator=Nicholas Anderson&rft.creator=Phul Subedi&rft.creator=Alison B Payne&rft.creator=Kerry B Walsh&rft.date=2017&rft_rights=CC BY 3.0&rft_rights=open access&rft_subject=Mango.&rft_subject=070601 Horticultural Crop Growth and Development.&rft_subject=820214 Tropical Fruit.&rft_subject=Applied Research.&rft_subject=070101 Agricultural Land Management.&rft_subject=B74 Mango -- Tree Canopies&rft_subject=Research Dataset&rft.type=dataset&rft.language=English ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.5072/81/58ed6f96b9847&rft.title=Mango fruit on tree image collection&rft.identifier=http://dx.doi.org/10.5072/81/58ed6f96b9847&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.This data is broken into 6 zip files and are grouped as follows in the source links: 1.Calibration Set.zip 2. SetCountsandLicense.zip 3. Validation Set 1.zip 4. Validation Set 2.zip 5. Validation Set 3.zip 6. Validation Set 4.zip&rft.creator=Nicholas Anderson&rft.creator=Phul Subedi&rft.creator=Alison B Payne&rft.creator=Kerry B Walsh&rft.date=2017&rft_rights=CC BY 3.0&rft_rights=open access&rft_subject=Mango.&rft_subject=070601 Horticultural Crop Growth and Development.&rft_subject=820214 Tropical Fruit.&rft_subject=Applied Research.&rft_subject=070101 Agricultural Land Management.&rft_subject=B74 Mango -- Tree Canopies&rft_subject=Research Dataset&rft.type=dataset&rft.language=English ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.5072/81/58ed6f96b9847&rft.title=Mango fruit on tree image collection&rft.identifier=http://dx.doi.org/10.5072/81/58ed6f96b9847&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.This data is broken into 6 zip files and are grouped as follows in the source links: 1.Calibration Set.zip 2. SetCountsandLicense.zip 3. Validation Set 1.zip 4. Validation Set 2.zip 5. Validation Set 3.zip 6. Validation Set 4.zip&rft.creator=Nicholas Anderson&rft.creator=Phul Subedi&rft.creator=Alison B Payne&rft.creator=Kerry B Walsh&rft.date=2017&rft_rights=CC BY 3.0&rft_rights=open access&rft_subject=Mango.&rft_subject=070601 Horticultural Crop Growth and Development.&rft_subject=820214 Tropical Fruit.&rft_subject=Applied Research.&rft_subject=070101 Agricultural Land Management.&rft_subject=B74 Mango -- Tree Canopies&rft_subject=Research Dataset&rft.type=dataset&rft.language=English ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.5072/81/58ed6f96b9847&rft.title=Mango fruit on tree image collection&rft.identifier=http://dx.doi.org/10.5072/81/58ed6f96b9847&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.This data is broken into 6 zip files and are grouped as follows in the source links: 1.Calibration Set.zip 2. SetCountsandLicense.zip 3. Validation Set 1.zip 4. Validation Set 2.zip 5. Validation Set 3.zip 6. Validation Set 4.zip&rft.creator=Nicholas Anderson&rft.creator=Phul Subedi&rft.creator=Alison B Payne&rft.creator=Kerry B Walsh&rft.date=2017&rft_rights=CC BY 3.0&rft_rights=open access&rft_subject=Mango.&rft_subject=070601 Horticultural Crop Growth and Development.&rft_subject=820214 Tropical Fruit.&rft_subject=Applied Research.&rft_subject=070101 Agricultural Land Management.&rft_subject=B74 Mango -- Tree Canopies&rft_subject=Research Dataset&rft.type=dataset&rft.language=English ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.5072/81/58ed6f96b9847&rft.title=Mango fruit on tree image collection&rft.identifier=http://dx.doi.org/10.5072/81/58ed6f96b9847&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.This data is broken into 6 zip files and are grouped as follows in the source links: 1.Calibration Set.zip 2. SetCountsandLicense.zip 3. Validation Set 1.zip 4. Validation Set 2.zip 5. Validation Set 3.zip 6. Validation Set 4.zip&rft.creator=Nicholas Anderson&rft.creator=Phul Subedi&rft.creator=Alison B Payne&rft.creator=Kerry B Walsh&rft.date=2017&rft_rights=CC BY 3.0&rft_rights=open access&rft_subject=Mango.&rft_subject=070601 Horticultural Crop Growth and Development.&rft_subject=820214 Tropical Fruit.&rft_subject=Applied Research.&rft_subject=070101 Agricultural Land Management.&rft_subject=B74 Mango -- Tree Canopies&rft_subject=Research Dataset&rft.type=dataset&rft.language=English ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.5072/81/58ed6f96b9847&rft.title=Mango fruit on tree image collection&rft.identifier=http://dx.doi.org/10.5072/81/58ed6f96b9847&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.This data is broken into 6 zip files and are grouped as follows in the source links: 1.Calibration Set.zip 2. SetCountsandLicense.zip 3. Validation Set 1.zip 4. Validation Set 2.zip 5. Validation Set 3.zip 6. Validation Set 4.zip&rft.creator=Nicholas Anderson&rft.creator=Phul Subedi&rft.creator=Alison B Payne&rft.creator=Kerry B Walsh&rft.date=2017&rft_rights=CC BY 3.0&rft_rights=open access&rft_subject=Mango.&rft_subject=070601 Horticultural Crop Growth and Development.&rft_subject=820214 Tropical Fruit.&rft_subject=Applied Research.&rft_subject=070101 Agricultural Land Management.&rft_subject=B74 Mango -- Tree Canopies&rft_subject=Research Dataset&rft.type=dataset&rft.language=English Go to Data Providers

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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.
This data is broken into 6 zip files and are grouped as follows in the source links: 1.Calibration Set.zip 2. SetCountsandLicense.zip 3. Validation Set 1.zip 4. Validation Set 2.zip 5. Validation Set 3.zip 6. Validation Set 4.zip
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