Smartphone-based diagnosis of crop diseases. Project profile.
| dc.creator | International Potato Center | |
| dc.date | 2019-08 | |
| dc.date | 2019-08-29T17:18:44Z | |
| dc.date | 2019-08-29T17:18:44Z | |
| dc.date.accessioned | 2026-06-27T18:02:18Z | |
| dc.description | A crop disease outbreak requires rapid and specific intervention measures, if large yield losses are to be avoided, but farmers often struggle to identify what is causing the problem. A novel artificial intelligence (AI)-based mobile phone app could provide an effective, low-cost and easy-to-use diagnostic solution. | |
| dc.format | application/pdf | |
| dc.identifier | https://hdl.handle.net/10568/103465 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/153142 | |
| dc.language | en | |
| dc.publisher | International Potato Center | |
| dc.rights | Open Access | |
| dc.source | International Potato Center. 2019. Smartphone-based diagnosis of crop diseases. Project profile. CIP. 2 p. | |
| dc.subject | crops | |
| dc.subject | diseases | |
| dc.subject | project profiles | |
| dc.title | Smartphone-based diagnosis of crop diseases. Project profile. | |
| dc.type | Brochure |