Multimodal hybrid deep learning approach to detect tomato leaf disease using attention based dilated convolution feature extractor with logistic regression classification
Automatic leaf disease detection techniques are effective for reducing the time-consuming effort of monitoring large crop farms and early identification of disease symptoms of plant leaves. Although crop tomatoes are seen to be susceptible to a variety of diseases that can reduce the production of t...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI
2022
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/40154/1/Multimodal%20hybrid%20deep%20learning%20approach%20to%20detect%20tomato%20leaf.pdf http://umpir.ump.edu.my/id/eprint/40154/ https://doi.org/10.3390/s22166079 https://doi.org/10.3390/s22166079 |
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