eprintid: 11455
rev_number: 16
eprint_status: archive
userid: 3170
dir: disk0/00/01/14/55
datestamp: 2020-04-05 08:30:19
lastmod: 2020-04-05 08:30:19
status_changed: 2020-04-05 08:30:19
type: conference_item
metadata_visibility: show
creators_name: Akinseye, F M
creators_name: Ajeigbe, H A
creators_name: Ahmed, M I
creators_name: Traore, P C S
creators_name: Tabo, R
creators_name: Whitbread, A M
icrisatcreators_name: Akinseye, M
icrisatcreators_name: Ajeigbe, H A
icrisatcreators_name: Ahmed, M I
icrisatcreators_name: Tabo, R
icrisatcreators_name: Whitbread, A M
affiliation: ICRISAT (Kano)
affiliation: ICRISAT (Patancheru)
affiliation: agCelerant-Senegal, Manobi Africa PLC, (Dakar)
affiliation: ICRISAT (Bamako)
country: Nigeria
country: India
country: Senegal
country: Mali
title: Predicting sorghum performance from big on-farm data in the savannah zone of northern Nigeria
ispublished: pub
subjects: GL1
subjects: S2020
subjects: s1.4
subjects: s2.4
divisions: CRPS4
divisions: CRPS1
full_text_status: public
pres_type: speech
keywords: Sorghum, Soil fertility, Small holder,
note: 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
abstract: Smallholder farming systems in semi-arid regions are characterized by poor soil fertility and low agricultural input use.
date: 2020-02
date_type: published
event_title: ICROPM 2020
event_location: Montpellier, France
event_dates: 2-5 feb 2020
event_type: conference
refereed: TRUE
citation:   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.     
document_url: http://oar.icrisat.org/11455/1/ICROP2020_Conference%20Abstract_Akinseye%20et%20al..pdf