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Journal Article 2015-05-23

Mapping soil properties of Africa at 250 m resolution: random forests significantly improve current predictions

Autor: Hengl, Tomislav Heuvelink, Gerard B.M. Kempen, Bas Leenaars, Johan G.B. Walsh, Markus G Shepherd, Keith D. Sila, Andrew MacMillan, Robert A Mendes de Jesus, Jorge Tamene, Lulseged Tondoh, Jérôme E.

80% of arable land in Africa has low soil fertility and suffers from physical soil problems. Additionally, significant amounts of nutrients are lost every year due to unsustainable soil management practices. This is partially the result of insufficient use of soil management knowledge. To help br...

Enlace original: https://cgspace.cgiar.org/handle/10568/68703

Investigación en Agricultura

SIMULATION MODELS

FORECASTING

SOIL MANAGEMENT

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Hengl, Tomislav , Heuvelink, Gerard B.M. , Kempen, Bas , Leenaars, Johan G.B. , Walsh, Markus G , Shepherd, Keith D. , Sila, Andrew , MacMillan, Robert A , Mendes de Jesus, Jorge , Tamene, Lulseged , Tondoh, Jérôme E. , [Mapping soil properties of Africa at 250 m resolution: random forests significantly improve current predictions] , Mapping soil properties of Africa at 250 m resolution: random forests significantly improve current predictions

Journal Article 2008

Unravelling the effects of soil and crop management on maize productivity in smallholder agricultural systems of western Kenya : An application of classification and regression tree analysis

Autor: Tittonell, Pablo A. Shepherd, Keith D. Vanlauwe, Bernard Giller, Ken E.

To guide soil fertility investment programmes in sub-Saharan Africa, better understanding is needed of the relative importance of soil and crop management factors in determining smallholder crop yields and yield variability. Spatial variability in crop yields within farms is strongly influenced b...

Enlace original: https://cgspace.cgiar.org/handle/10568/44205

Investigación en Agricultura

MAIZE

YIELDS

SOIL FERTILITY

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Tittonell, Pablo A. , Shepherd, Keith D. , Vanlauwe, Bernard , Giller, Ken E. , [Unravelling the effects of soil and crop management on maize productivity in smallholder agricultural systems of western Kenya : An application of classification and regression tree analysis] , Unravelling the effects of soil and crop management on maize productivity in smallholder agricultural systems of western Kenya : An application of classification and regression tree analysis

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Mapping soil properties of Africa at 250 m resolution: random forests significantly improve current predictions

Unravelling the effects of soil and crop management on maize productivity in smallholder agricultural systems of western Kenya : An application of classification and regression tree analysis