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Using geospatial tools to optimize cassava agronomy trials in Nigeria and Tanzania

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Title Using geospatial tools to optimize cassava agronomy trials in Nigeria and Tanzania
 
Creator Alabi, T.
Pypers, P.
Chernet, M.
Hauser, S.
Kreye, C.
Haertel, M.
 
Subject CASSAVA
AGRONOMY
NIGERIA
TANZANIA
 
Description Cassava (Manihot esculenta) is an important staple crop for over half a billion people in Africa yet current yield at farmers’ field is only 20% of the potential yield. The African Cassava Agronomy Initiative (ACAI) project is initiated to mitigate the yield gap through developing site-specific recommendations based on a demand-driven approach. The project responds to specific agronomy-related needs of partners already engaged in cassava dissemination and value chain activities in Nigeria and Tanzania. ACAI is developing site-specific recommendation, where processing geospatial information related to climate, soil and remote sensing data is crucial. We are using spatial multivariate analysis to delineate our partners’ operational area into homogeneous clusters to ensure the representativeness of trial sites and optimize the number of trial sites for maximum operational efficiency.
 
Date 2019-08-28T09:49:18Z
2019-08-28T09:49:18Z
2018-06
 
Type Poster
 
Identifier Alabi, T., Pypers, P., Chernet, M., Hauser, S., Kreye, C. & Haertel, M. (2018). Using geospatial tools to optimize cassava agronomy trials in Nigeria and Tanzania. Poster session presented at: the GCP21 - IVth International Cassava Conference, at Cotonou Benin June 11-15; Cotonou, Benin.
https://hdl.handle.net/10568/103421
 
Language en
 
Rights CC-BY-4.0
 
Format 1 p.
 
Publisher Global Cassava Partnership for the 21st Century - GCP21