Predicting sorghum performance from big on-farm data in the savannah zone of northern Nigeria

    Akinseye, F M and Ajeigbe, H A and Ahmed, M I and Traore, P C S and Tabo, R and Whitbread, A M (2020) Predicting sorghum performance from big on-farm data in the savannah zone of northern Nigeria. In: ICROPM 2020, 2-5 feb 2020, Montpellier, France.

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    Abstract

    Smallholder farming systems in semi-arid regions are characterized by poor soil fertility and low agricultural input use.

    Item Type: Conference or Workshop Item (Speech)
    Divisions: Research Program : Innovation Systems for the Drylands (ISD)
    Research Program : West & Central Africa
    CRP: UNSPECIFIED
    Uncontrolled Keywords: Sorghum, Soil fertility, Small holder,
    Subjects: Others > Smallholder Farmers
    Others > Soil Fertility
    Mandate crops > Sorghum
    Others > Agriculture-Farming, Production, Technology, Economics
    Depositing User: Mr Arun S
    Date Deposited: 05 Apr 2020 08:30
    Last Modified: 05 Apr 2020 08:30
    URI: http://oar.icrisat.org/id/eprint/11455
    Acknowledgement: The authors thank the donor for the funding of the study. The study is part of the NADiRA project, Which has received funding from the European Union's Horizon 2020 research and innovation program under grant agreement no 776309
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