Inspire Challenge Award: Pest and disease monitoring by using artificial intelligence
The project aimed to radically transform pest and disease monitoring by using artificial intelligence (AI), advanced sensor technology and crowdsourcing capable of connecting the global Ag community to help smallholder farmers.
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| Format: | Informe técnico |
| Language: | Inglés |
| Published: |
2018
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| Online Access: | https://hdl.handle.net/10568/122993 |
| _version_ | 1855538188821463040 |
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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 | The project aimed to radically transform pest and disease monitoring by using artificial intelligence (AI), advanced sensor technology and crowdsourcing capable of connecting the global Ag community to help smallholder farmers. |
| format | Informe técnico |
| id | CGSpace122993 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2018 |
| publishDateRange | 2018 |
| publishDateSort | 2018 |
| record_format | dspace |
| spelling | CGSpace1229932023-03-14T12:22:14Z Inspire Challenge Award: Pest and disease monitoring by using artificial intelligence CGIAR Platform for Big Data in Agriculture farmers technology monitoring development rural development systems agrifood systems artificial intelligence smallholder farmers The project aimed to radically transform pest and disease monitoring by using artificial intelligence (AI), advanced sensor technology and crowdsourcing capable of connecting the global Ag community to help smallholder farmers. 2018-12-31 2022-10-06T14:16:21Z 2022-10-06T14:16:21Z Report https://hdl.handle.net/10568/122993 en Open Access application/pdf CGIAR Platform for Big Data in Agriculture. 2018. Inspire Challenge Award: Pest and disease monitoring by using artificial intelligence. Reported in Platform for Big Data in Agriculture Annual Report 2018. Innovations. |
| spellingShingle | farmers technology monitoring development rural development systems agrifood systems artificial intelligence smallholder farmers CGIAR Platform for Big Data in Agriculture Inspire Challenge Award: Pest and disease monitoring by using artificial intelligence |
| title | Inspire Challenge Award: Pest and disease monitoring by using artificial intelligence |
| title_full | Inspire Challenge Award: Pest and disease monitoring by using artificial intelligence |
| title_fullStr | Inspire Challenge Award: Pest and disease monitoring by using artificial intelligence |
| title_full_unstemmed | Inspire Challenge Award: Pest and disease monitoring by using artificial intelligence |
| title_short | Inspire Challenge Award: Pest and disease monitoring by using artificial intelligence |
| title_sort | inspire challenge award pest and disease monitoring by using artificial intelligence |
| topic | farmers technology monitoring development rural development systems agrifood systems artificial intelligence smallholder farmers |
| url | https://hdl.handle.net/10568/122993 |
| work_keys_str_mv | AT cgiarplatformforbigdatainagriculture inspirechallengeawardpestanddiseasemonitoringbyusingartificialintelligence |