Home
World Journal of Advanced Research and Reviews
International Journal with High Impact Factor for fast publication of Research and Review articles

Main navigation

  • Home
    • Journal Information
    • Editorial Board Members
    • Reviewer Panel
    • Abstracting and Indexing
    • Journal Policies
    • Our CrossMark Policy
    • Publication Ethics
    • Issue in Progress
    • Current Issue
    • Past Issues
    • Instructions for Authors
    • Article processing fee
    • Track Manuscript Status
    • Get Publication Certificate
    • Join Editorial Board
    • Join Reviewer Panel
  • Contact us
  • Downloads

eISSN: 2581-9615 || CODEN: WJARAI || Impact Factor 8.2 ||  CrossRef DOI

Research and review articles are invited for publication in March 2026 (Volume 29, Issue 3) Submit manuscript

Development of a web-based geospatial intelligent decision support system for control of herders and farmers crisis in Benue State Nigeria

Breadcrumb

  • Home
  • Development of a web-based geospatial intelligent decision support system for control of herders and farmers crisis in Benue State Nigeria

Ejikeme JO 1, *, Ikpughur C 1, Igbokwe EC 1, Udoudo NP 1 and Njoku RE 2

1 Department of Surveying and Geoinformatics, Nnamdi Azikiwe University, Awka, Anambra State; Nigeria.
2 Department of Surveying and Geoinformatics, Federal University of Technology, Owerri, Nigeria.
 
Research Article
World Journal of Advanced Research and Reviews, 2022, 14(03), 369-375
Article DOI: 10.30574/wjarr.2022.14.3.0489
DOI url: https://doi.org/10.30574/wjarr.2022.14.3.0489
 
Received on 25 April 2022; revised on 01 June 2022; accepted on 03 June 2022
 
The biggest challenge in Nigeria today is herder-farmer conflict particularly in Benue State Nigeria. This study developed a web-based geospatial decision support system for control and management of herders/farmers crisis in Benue State. Landsat 5 TM (1989), Landsat 7 ETM+ (2004) and Landsat 8 (2019) were pre-processed and classified. The study revealed that forested areas had depleted by -4.17% between 1989 and 2004 and -2.20% between 2004 and 2019. Farmland had an increase of 34.01% between 1989 and 2004 and 17.92% between 2004 and 2019 and grassland had -7.12% between 1989 and 2004 and -3.89% between 2004 and 2019. The study also revealed five conflict zones with Agatu in Very high conflict zone with 88 -230 clashes, the high conflict zone included Guma, Gwer West and Logo with 41 – 87 clashes, the moderate conflict zone include Gwer East, Ohimini Markudi and Okpokwu with 16 – 40 clashes, the low conflict zone include Otukpo with 3 – 15 clashes, the very low conflict zone include Apa, Ado, Obi, Oju, Kwande, Ukum, Katsina Ala, Gboko, Buruku, Tarka, Ushongo, Konshisha, Ogbadibo, and Vandeikya with 0 -2 clashes. The potential sites for grazing reserves were determined using the Analytical Hierarchy Process (AHP). The results revealed a total area of 8361.46hectares (0.27%) of the total land mass as potential grazing reserves, covering 18 local government areas. A database of the potential areas for grazing reserves was implemented in QGIS software. The study recommended potential areas for establishment of grazing reserves in Benue State.
 
Grazing reserve; QGIS; Herders/Farmers; AHP
 
https://wjarr.com/sites/default/files/fulltext_pdf/WJARR-2022-0489.pdf

Preview Article PDF

Ejikeme JO, Ikpughur C, Igbokwe EC, Udoudo NP and Njoku RE. Development of a web-based geospatial intelligent decision support system for control of herders and farmers crisis in Benue State Nigeria. World Journal of Advanced Research and Reviews, 2022, 14(3), 369-375. Article DOI: https://doi.org/10.30574/wjarr.2022.14.3.0489

Copyright © Author(s). All rights reserved. This article is published under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, sharing, adaptation, distribution, and reproduction in any medium or format, as long as appropriate credit is given to the original author(s) and source, a link to the license is provided, and any changes made are indicated.

All statements, opinions, and data contained in this publication are solely those of the individual author(s) and contributor(s). The journal, editors, reviewers, and publisher disclaim any responsibility or liability for the content, including accuracy, completeness, or any consequences arising from its use.

Get Certificates

Get Publication Certificate

Download LoA

Check Corssref DOI details

Issue details

Issue Cover Page

Editorial Board

Table of content

Copyright © 2026 World Journal of Advanced Research and Reviews - All rights reserved

Developed & Designed by VS Infosolution