AI-powered banana diseases and pest detection
| cg.authorship.types | CGIAR and advanced research institute | |
| cg.contributor.affiliation | International Center for Tropical Agriculture | |
| cg.contributor.affiliation | Texas A&M University | |
| cg.contributor.affiliation | Bioversity International | |
| cg.contributor.affiliation | Tamil Nadu Agricultural University | |
| cg.contributor.crp | Roots, Tubers and Bananas | |
| cg.creator.identifier | MICHAEL GOMEZ SELVARAJ: 0000-0003-2394-0399 | |
| cg.creator.identifier | Walter Ocimati: 0000-0001-6177-7073 | |
| cg.creator.identifier | Guy Blomme: 0000-0002-3857-964X | |
| cg.howPublished | Formally Published | |
| cg.identifier.doi | https://doi.org/10.1186/s13007-019-0475-z | |
| cg.isijournal | ISI Journal | |
| cg.issn | 1746-4811 | |
| cg.issue | 1 | |
| cg.journal | Plant Methods | |
| cg.number | 92 | |
| cg.reviewStatus | Peer Review | |
| cg.subject.bioversity | ARTIFICIAL INTELLIGENCE | |
| cg.subject.bioversity | LEARNING | |
| cg.subject.bioversity | DISEASE SURVEILLANCE | |
| cg.subject.bioversity | PESTS OF PLANTS | |
| cg.volume | 15 | |
| dc.contributor.author | Selvaraj, Michael Gomez | |
| dc.contributor.author | Vergara, A. | |
| dc.contributor.author | Ruíz, H. | |
| dc.contributor.author | Safari, N. | |
| dc.contributor.author | Elayabalan, S. | |
| dc.contributor.author | Ocimati, W. | |
| dc.contributor.author | Blomme, Guy | |
| dc.date.accessioned | 2019-08-30T10:44:20Z | en |
| dc.date.available | 2019-08-30T10:44:20Z | en |
| dc.identifier.uri | https://hdl.handle.net/10568/103473 | |
| dc.title | AI-powered banana diseases and pest detection | en |
| dcterms.abstract | 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. | en |
| dcterms.accessRights | Open Access | |
| dcterms.available | 2019-08-12 | |
| dcterms.bibliographicCitation | 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 | en |
| dcterms.issued | 2019-08-12 | |
| dcterms.language | en | |
| dcterms.license | CC-BY-4.0 | |
| dcterms.publisher | Springer | |
| dcterms.subject | artificial intelligence | en |
| dcterms.subject | learning | en |
| dcterms.subject | computer applications | en |
| dcterms.subject | information systems | en |
| dcterms.subject | disease surveillance | en |
| dcterms.subject | pests of plants | en |
| dcterms.subject | bananas | en |
| dcterms.type | Journal Article |