Developing Machine Vision in Tree-Fruit Applications-Fruit Count, Fruit Size and Branch Avoidance in...
Developing Machine Vision in Tree-Fruit Applications-Fruit Count, Fruit Size and Branch Avoidance in Automated Harvesting
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Publisher
Switzerland: MDPI AG
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Language
English
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Switzerland: MDPI AG
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Recent developments in affordable depth imaging hardware and the use of 2D Convolutional Neural Networks (CNN) in object detection and segmentation have accelerated the adoption of machine vision in a range of applications, with mainstream models often out-performing previous application-specific architectures. The need for the release of training...
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Full title
Developing Machine Vision in Tree-Fruit Applications-Fruit Count, Fruit Size and Branch Avoidance in Automated Harvesting
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TN_cdi_doaj_primary_oai_doaj_org_article_713a3ee562c1432192d445294b9c08ff
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_713a3ee562c1432192d445294b9c08ff
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ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s24175593
