A nondestructive testing method for soluble solid content in Korla fragrant pears based on electrical properties and artificial neural network
Abstract The detection of soluble solid content in Korla fragrant pear is a destructive and time‐consuming endeavor. In effort to remedy this, a nondestructive testing method based on electrical properties and artificial neural network was established in this study. Specifically, variations of elect...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-09-01
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| Series: | Food Science & Nutrition |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/fsn3.1822 |