Suitability Analysis for Yam Production in Nigeria using Satellite and Observation Data

Authors

  • Tertsea Igbawua
    Department of Physics, Federal University of Agriculture, Makurdi, Nigeria
  • Martha Hembafan Gbanger
    Department of Physics, Federal University of Agriculture, Makurdi, Nigeria
  • Fanan Ujoh
    Center for sustainability and Resilient Infrastructure and Communities (SaRIC), School of the Built Environment and Architecture, London South Bank University, London, UK

Keywords:

Analytical hierarchy process, Yam production, Nigeria, NDVI, Yield gap, Multi-criterion decision making

Abstract

Identification of suitable areas for yam production is critical for ensuring yield in yam production in Nigeria. The study is aimed at determining suitable lands for yam production in Nigeria. Climate, soil, and environmental parameters that have a high contribution to yam production were used in developing a yam production suitability map using the Analytical Hierarchy Process (AHP). The AHP was used in deriving weights through a pairwise comparison technique. According to the findings, highly suitable (HS), suitable (S), marginally suitable (MS), and not suitable (NS) regions accounted for 11.79, 82.68, 4.05, and 1.47% of the study area, respectively. The Normalized Difference Vegetation Index (NDVI), a measure of vegetation vigor, was higher in HS, followed by S regions, and then MS regions. Similarly, climate variables in HS regions were more favorable for plant growth, followed by S regions and MS regions. The correlation between precipitation and temperature is high and significant only in the HS class, despite the fact that NDVI and climate variables are significantly connected in all the suitability classes. The output map, thus determined, provides information on highly suitable, suitable or marginally suitable lands that are of practical importance to agriculturists.

Author Biography

Martha Hembafan Gbanger

Department of Physics,

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Published

2022-11-06

How to Cite

Suitability Analysis for Yam Production in Nigeria using Satellite and Observation Data. (2022). Journal of the Nigerian Society of Physical Sciences, 4(4), 883. https://doi.org/10.46481/jnsps.2022.883

Issue

Volume 4, Issue 4, November 2022

Section

Original Research
Copyright & Licensing

Copyright (c) 2022 Tertsea Igbawua, Martha Hembafan Gbanger, Fanan Ujoh

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Suitability Analysis for Yam Production in Nigeria using Satellite and Observation Data. (2022). Journal of the Nigerian Society of Physical Sciences, 4(4), 883. https://doi.org/10.46481/jnsps.2022.883

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