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...
| Autor principal: | |
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| Formato: | Informe técnico |
| Lenguaje: | Inglés |
| Publicado: |
2019
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/122956 |
| _version_ | 1855533439405522944 |
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| author | CGIAR Platform for Big Data in Agriculture |
| author_browse | CGIAR Platform for Big Data in Agriculture |
| author_facet | CGIAR Platform for Big Data in Agriculture |
| author_sort | CGIAR Platform for Big Data in Agriculture |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | 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. |
| format | Informe técnico |
| id | CGSpace122956 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2019 |
| publishDateRange | 2019 |
| publishDateSort | 2019 |
| record_format | dspace |
| spelling | CGSpace1229562023-03-14T12:11:38Z Deep Learning for Image-Recognition-Based Cassava Disease Detection CGIAR Platform for Big Data in Agriculture cassava development diseases rural development learning systems damage agrifood systems 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 for disease detection. 2019-12-31 2022-10-06T14:14:46Z 2022-10-06T14:14:46Z Report https://hdl.handle.net/10568/122956 en Open Access application/pdf CGIAR Platform for Big Data in Agriculture. 2019. Deep Learning for Image-Recognition-Based Cassava Disease Detection. Reported in Platform for Big Data in Agriculture Annual Report 2019. Innovations. |
| spellingShingle | cassava development diseases rural development learning systems damage agrifood systems detection CGIAR Platform for Big Data in Agriculture Deep Learning for Image-Recognition-Based Cassava Disease Detection |
| title | Deep Learning for Image-Recognition-Based Cassava Disease Detection |
| title_full | Deep Learning for Image-Recognition-Based Cassava Disease Detection |
| title_fullStr | Deep Learning for Image-Recognition-Based Cassava Disease Detection |
| title_full_unstemmed | Deep Learning for Image-Recognition-Based Cassava Disease Detection |
| title_short | Deep Learning for Image-Recognition-Based Cassava Disease Detection |
| title_sort | deep learning for image recognition based cassava disease detection |
| topic | cassava development diseases rural development learning systems damage agrifood systems detection |
| url | https://hdl.handle.net/10568/122956 |
| work_keys_str_mv | AT cgiarplatformforbigdatainagriculture deeplearningforimagerecognitionbasedcassavadiseasedetection |