Artificial intelligence method developed for classifying raw sugarcane in the presence of the solid impurity
An investigation dedicated to evaluating a big issue in biorefineries, solid impurity in raw sugarcane, is presented. This relevant industrial sector requests a high-frequency, low-cost, and noninvasive method. Then, the developed method uses the averaged color values of ten color-scale descriptors:...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universidade Estadual Paulista
2021-07-01
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| Series: | Eclética Química |
| Online Access: | https://revista.iq.unesp.br/ojs/index.php/ecletica/article/view/1232 |