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author International Water Management Institute
author_browse International Water Management Institute
author_facet International Water Management Institute
author_sort International Water Management Institute
collection Repository of Agricultural Research Outputs (CGSpace)
format Factsheet
id CGSpace178567
institution CGIAR Consortium
language Inglés
publishDate 2025
publishDateRange 2025
publishDateSort 2025
publisher International Water Management Institute
publisherStr International Water Management Institute
record_format dspace
spelling CGSpace1785672025-12-06T02:08:02Z IWMI in Nigeria - fact sheet International Water Management Institute water management agricultural productivity water security infrastructure nature-based solutions water pollution livelihoods decision-support systems strategies digital innovation artificial Intelligence machine learning climate resilience governance landscape conservation early warning systems 2025-11-30 2025-12-05T05:19:46Z 2025-12-05T05:19:46Z Factsheet https://hdl.handle.net/10568/178567 en Open Access application/pdf International Water Management Institute International Water Management Institute (IWMI). 2025. IWMI in Nigeria - fact sheet. Colombo, Sri Lanka: International Water Management Institute (IWMI). 4p.
spellingShingle water management
agricultural productivity
water security
infrastructure
nature-based solutions
water pollution
livelihoods
decision-support systems
strategies
digital innovation
artificial Intelligence
machine learning
climate resilience
governance
landscape conservation
early warning systems
International Water Management Institute
IWMI in Nigeria - fact sheet
title IWMI in Nigeria - fact sheet
title_full IWMI in Nigeria - fact sheet
title_fullStr IWMI in Nigeria - fact sheet
title_full_unstemmed IWMI in Nigeria - fact sheet
title_short IWMI in Nigeria - fact sheet
title_sort iwmi in nigeria fact sheet
topic water management
agricultural productivity
water security
infrastructure
nature-based solutions
water pollution
livelihoods
decision-support systems
strategies
digital innovation
artificial Intelligence
machine learning
climate resilience
governance
landscape conservation
early warning systems
url https://hdl.handle.net/10568/178567
work_keys_str_mv AT internationalwatermanagementinstitute iwmiinnigeriafactsheet