Deep Learning for Image-Recognition-Based Cassava Disease Detection
We trained a convolutional neural network on a cassava image database to identify three diseases and two types of pest damage: brown leaf spot, red mite damage, green mite damage, brown streak disease, and cassava mosaic disease. Results show that image recognition is an easily deployable strategy f...
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| Format: | Informe técnico |
| Language: | Inglés |
| Published: |
2019
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| Online Access: | https://hdl.handle.net/10568/122956 |
| Summary: | We trained a convolutional neural network on a cassava image database to identify three diseases and two types of pest damage: brown leaf spot, red mite damage, green mite damage, brown streak disease, and cassava mosaic disease. Results show that image recognition is an easily deployable strategy for disease detection. |
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