Machine learning for plant disease detection: an investigative comparison between support vector machine and deep learning
Image-based plant disease detection is among the essential activities in precision agriculture for observing incidence and measuring the severity of variability in crops. 70% to 80% of the variabilities are attributed to diseases caused by pathogens, and 60% to 70% appear on the leaves in comparison...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Institute of Advanced Engineering and Science
2020
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/90900/1/MusaMohdMokji2020_MachineLearningforPlantDiseaseDetection.pdf http://eprints.utm.my/id/eprint/90900/ http://dx.doi.org/10.11591/ijai.v9.i4.pp670-683 |
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