Computer vision and artificial neural network techniques for classification of damage in potatoes during the storage process
The research methodology consists of several stages to develop a noninvasive method of identifying the turgor of potato tubers during the storage. During the first stage, a graphic database (set of training data) has been created for selected varieties of potatoes. As a next step, special proprietar...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Czech Academy of Agricultural Sciences
2019-04-01
|
| Series: | Czech Journal of Food Sciences |
| Subjects: | |
| Online Access: | https://cjfs.agriculturejournals.cz/artkey/cjf-201902-0008_computer-vision-and-artificial-neural-network-techniques-for-classification-of-damage-in-potatoes-during-the-st.php |