Development of a fuzzy model for differentiating peanut plant from broadleaf weeds using image features
Abstract A combination of decision tree (DT) and fuzzy logic techniques was used to develop a fuzzy model for differentiating peanut plant from weeds. Color features and wavelet-based texture features were extracted from images of peanut plant and its three common weeds. Two feature selection techni...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2020-11-01
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| Series: | Plant Methods |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s13007-020-00695-1 |