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Assessing a mobile-based deep learning model for plant disease surveillance
If the potential of smartphone CNNs are to be realized our data suggest it is crucial to consider tuning precision and recall performance in order to achieve the desired performance in real world settings.
Using Transfer Learning for Image-Based Cassava Disease Detection
Our results show that the transfer learning approach for image recognition of field images offers a fast, affordable, and easily deployable strategy for digital plant disease detection.
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