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Poster 2018

Earth observation, open data and machine learning for near real time threat monitoring of vulnerable plant species

Autor: Burra, Dharani Dhar Barua, MA Palao, LK Reymondin, Louis

The IUCN data base lists several plant species whose existence is currently threatened by human activities and climatic extremes. Here we report a methodology that monitors threat status of these species in near real time, by deriving data from multiple open data sources, by linking them via a ma...

Enlace original: https://cgspace.cgiar.org/handle/10568/97164

Investigación en Agricultura

DEFORESTATION

DATA BASE

OPEN DATA

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Burra, Dharani Dhar , Barua, MA , Palao, LK , Reymondin, Louis , [Earth observation, open data and machine learning for near real time threat monitoring of vulnerable plant species] , Earth observation, open data and machine learning for near real time threat monitoring of vulnerable plant species

Poster 2012

Pan Africa Bean Research Alliance Model

Autor: Buruchara, Robin A. Chirwa, Rowland Abang, Mathew M. Rubyogo, Jean-Claude

The Pan Africa Bean Research Alliance is a consortium of African-owned regional bean networks consisting of National Agricultural Research Systems (NARS) from 28 countries in sub- Saharan Africa, the International Center for Tropical Agriculture (CIAT) and a number of donor organizations. PABRA’s...

Enlace original: https://cgspace.cgiar.org/handle/10568/93056

Investigación en Agricultura

BEANS

MONITORING

PRODUCTIVITY

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Buruchara, Robin A. , Chirwa, Rowland , Abang, Mathew M. , Rubyogo, Jean-Claude , [Pan Africa Bean Research Alliance Model] , Pan Africa Bean Research Alliance Model

Poster 2017-04-24

Exploring and developing effective evaluative approaches for evidencing the contribution of CCAFS climate data and tools towards development outcomes

Autor: Rassmann, Kornelia Schuetz, Tonya Thornton, Philip K. Cramer, Laura

Do CCAFS’ climate data and tools contribute to development outcomes? The production of International PublicGoods (IPGs) – such as high quality, easy to use climate data and tools – is part of CGIAR CCAFS’ delivery promise. With CCAFS’ transition to a results-based management approach there is an ...

Enlace original: https://cgspace.cgiar.org/handle/10568/82622

Investigación en Agricultura

CLIMATE CHANGE

AGRICULTURE

FOOD SECURITY

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Rassmann, Kornelia , Schuetz, Tonya , Thornton, Philip K. , Cramer, Laura , [Exploring and developing effective evaluative approaches for evidencing the contribution of CCAFS climate data and tools towards development outcomes] , Exploring and developing effective evaluative approaches for evidencing the contribution of CCAFS climate data and tools towards development outcomes

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Resultados de búsqueda

Earth observation, open data and machine learning for near real time threat monitoring of vulnerable plant species

Pan Africa Bean Research Alliance Model

Exploring and developing effective evaluative approaches for evidencing the contribution of CCAFS climate data and tools towards development outcomes

Descubre y comparte nuestro conocimiento público

Resultados de búsqueda

Earth observation, open data and machine learning for near real time threat monitoring of vulnerable plant species

[GBIF_Ebbe_Nielsen_2018_CIAT_Asia_04092018.pdf]

Pan Africa Bean Research Alliance Model

[29.The PABRA Model - RB-JCR-edits COMPLETE.pdf]

Exploring and developing effective evaluative approaches for evidencing the contribution of CCAFS climate data and tools towards development outcomes

[Galway Poster_final 2017-04-22.pdf]