Mapping land suitability for informal, small-scale irrigation development using spatial modelling and machine learning in the Upper East Region, Ghana

Akpoti, K, Higginbottom, TP, Foster, T, Adhikari, R ORCID logoORCID: https://orcid.org/0000-0002-1932-6225 and Zwart, SJ, 2022. Mapping land suitability for informal, small-scale irrigation development using spatial modelling and machine learning in the Upper East Region, Ghana. Science of The Total Environment, 803: 149959. ISSN 0048-9697

Full text not available from this repository.
Item Type: Journal article
Publication Title: Science of The Total Environment
Creators: Akpoti, K., Higginbottom, T.P., Foster, T., Adhikari, R. and Zwart, S.J.
Publisher: Elsevier BV
Date: January 2022
Volume: 803
ISSN: 0048-9697
Identifiers:
Number
Type
10.1016/j.scitotenv.2021.149959
DOI
1832024
Other
Divisions: Schools > Nottingham Business School
Record created by: Jeremy Silvester
Date Added: 08 Nov 2023 10:09
Last Modified: 08 Nov 2023 10:09
URI: https://irep.ntu.ac.uk/id/eprint/50316

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