Detecting rottenness caused by Penicillium genus fungi in citrus fruits using machine learning techniques
Penicillium fungi are among the main defects that may affect the commercialization of citrus fruits. Economic losses in fruit production may become enormous if an early detection of that kind of fungi is not carried out. That early detection is usually based either on UltraViolet light carried out m...
| Main Authors: | , , , , , |
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| Format: | article |
| Language: | Inglés |
| Published: |
2017
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| Online Access: | http://hdl.handle.net/20.500.11939/5319 |
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