AI-powered banana diseases and pest detection
Banana (Musa spp.) is the most popular marketable fruit crop grown all over the world, and a dominant staple food in many developing countries. Worldwide, banana production is affected by numerous diseases and pests. Novel and rapid methods for the timely detection of pests and diseases will allow t...
| Autores principales: | , , , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Springer
2019
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/103473 |
| _version_ | 1855521351303954432 |
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| author | Selvaraj, Michael Gomez Vergara, A. Ruíz, H. Safari, N. Elayabalan, S. Ocimati, W. Blomme, Guy |
| author_browse | Blomme, Guy Elayabalan, S. Ocimati, W. Ruíz, H. Safari, N. Selvaraj, Michael Gomez Vergara, A. |
| author_facet | Selvaraj, Michael Gomez Vergara, A. Ruíz, H. Safari, N. Elayabalan, S. Ocimati, W. Blomme, Guy |
| author_sort | Selvaraj, Michael Gomez |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Banana (Musa spp.) is the most popular marketable fruit crop grown all over the world, and a dominant staple food in many developing countries. Worldwide, banana production is affected by numerous diseases and pests. Novel and rapid methods for the timely detection of pests and diseases will allow to surveil and develop control measures with greater efficiency. As deep convolutional neural networks (DCNN) and transfer learning has been successfully applied in various fields, it has freshly moved in the domain of just-in-time crop disease detection. The aim of this research is to develop an AI-based banana disease and pest detection system using a DCNN to support banana farmers. |
| format | Journal Article |
| id | CGSpace103473 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2019 |
| publishDateRange | 2019 |
| publishDateSort | 2019 |
| publisher | Springer |
| publisherStr | Springer |
| record_format | dspace |
| spelling | CGSpace1034732025-11-12T05:54:30Z AI-powered banana diseases and pest detection Selvaraj, Michael Gomez Vergara, A. Ruíz, H. Safari, N. Elayabalan, S. Ocimati, W. Blomme, Guy artificial intelligence learning computer applications information systems disease surveillance pests of plants bananas Banana (Musa spp.) is the most popular marketable fruit crop grown all over the world, and a dominant staple food in many developing countries. Worldwide, banana production is affected by numerous diseases and pests. Novel and rapid methods for the timely detection of pests and diseases will allow to surveil and develop control measures with greater efficiency. As deep convolutional neural networks (DCNN) and transfer learning has been successfully applied in various fields, it has freshly moved in the domain of just-in-time crop disease detection. The aim of this research is to develop an AI-based banana disease and pest detection system using a DCNN to support banana farmers. 2019-08-12 2019-08-30T10:44:20Z 2019-08-30T10:44:20Z Journal Article https://hdl.handle.net/10568/103473 en Open Access application/pdf Springer Selvaraj, M.G.; Vergara, A.; Ruiz, H.; Safari, N.; Elayabalan, S.; Ocimati, W.; Blomme, G. (2019) AI-powered banana diseases and pest detection. Plant Methods 15: article 92. ISSN: 1746-4811 |
| spellingShingle | artificial intelligence learning computer applications information systems disease surveillance pests of plants bananas Selvaraj, Michael Gomez Vergara, A. Ruíz, H. Safari, N. Elayabalan, S. Ocimati, W. Blomme, Guy AI-powered banana diseases and pest detection |
| title | AI-powered banana diseases and pest detection |
| title_full | AI-powered banana diseases and pest detection |
| title_fullStr | AI-powered banana diseases and pest detection |
| title_full_unstemmed | AI-powered banana diseases and pest detection |
| title_short | AI-powered banana diseases and pest detection |
| title_sort | ai powered banana diseases and pest detection |
| topic | artificial intelligence learning computer applications information systems disease surveillance pests of plants bananas |
| url | https://hdl.handle.net/10568/103473 |
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