MarkoArsenovic/DeepLearning_PlantDiseases
DeepLearning_PlantDiseases
Training and evaluating state-of-the-art deep learning CNN architectures for plant disease classification task.
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MarkoArsenovic
MarkoArsenovic • individual
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Jul 29, 2017
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This is the source code of the experiment described in chapter [Deep Learning for Plant Diseases: Detection and Saliency Map Visualisation](https://link.springer.com/chapter/10.1007/978-3-319-90403-0_6) in a book **Human and Machine Learning, 2018**.
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Agricultural AICNN Architecture ComparisonComputer VisionConvolutional Neural NetworksDeep Learning Model TrainingImage ClassificationPlant Pathology DetectionTransfer Learning
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Agricultural AICNN Architecture ComparisonComputer VisionConvolutional Neural NetworksDeep Learning Model TrainingImage ClassificationPlant Pathology DetectionTransfer LearningDeep LearningEvalsForkedMachine LearningPyTorch
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Python100.0%
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- Project created
- Jul 29, 2017
- Forked
- Mar 23, 2026
- Your last push
- 4 years ago
- Upstream last push
- 4 years ago
- Tracked since
- Oct 13, 2021
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