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General Information
ISSN:
1798-2340 (Online)
Frequency:
Monthly
DOI:
10.12720/jait
Indexing:
ESCI (Web of Science)
,
Scopus
,
CNKI
,
etc
.
Acceptance Rate:
19%
APC:
500 USD
Average Days to Accept:
135 days
Journal Metrics:
Impact Factor 2022: 1.0
3.1
2022
CiteScore
49th percentile
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Editor-in-Chief
Prof. Kin C. Yow
University of Regina, Saskatchewan, Canada
I'm delighted to serve as the Editor-in-Chief of
Journal of Advances in Information Technology
.
JAIT
is intended to reflect new directions of research and report latest advances in information technology. I will do my best to increase the prestige of the journal.
What's New
2024-03-28
Vol. 15, No. 3 has been published online!
2024-02-26
The papers published in Vol. 15, Nos. 1&2 have been registered with Crossref.
2024-02-26
Vol. 15, No. 2 has been published online!
Home
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Published Issues
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2020
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Volume 11, No. 1, February 2020
>
A Decision Analytic Framework and Exploratory Statistical Case Study Analysis of Grass Growth in Northern Ireland
Orla McHugh, Fiona Browne, Jun Liu, and Philip Jordan
Ulster University, Northern Ireland, UK
Abstract
—Sustainable land management, with pressures from climate change, is a highly multidisciplinary research field. There are challenges to exploit an abundance of data and apply data-processing technologies to integrate environmental, economic, and social considerations and manage uncertainties originating from imperfect data quality. Motivated by these challenges, the present work proposes a multi-layered mapping methodological framework to bridge or reduce the problems identified by developing a transparent and explainable decision support system as a precision agriculture tool. This should be designed both for farmers and agriculture decision makers, and integrate soft (e.g., legislation, policy, regulation and experience) and hard data (measured data), along with geographical information that presents key information in the form of spatial mapping, information mapping, and causal structure mapping. Presented is a preliminary exploratory statistical case study analysis on grass growth data in order to examine patterns and determine which factors have the greatest influence on grass growth in Northern Ireland.
Index Terms
—sustainable land management, climate change, decision support system, uncertainty, exploratory statistical analysis
Cite: Orla McHugh, Fiona Browne, Jun Liu, and Philip Jordan, "A Decision Analytic Framework and Exploratory Statistical Case Study Analysis of Grass Growth in Northern Ireland," Journal of Advances in Information Technology, Vol. 11, No. 1, pp. 15-20, February 2020. doi: 10.12720/jait.11.1.15-20
Copyright © 2020 by the authors. This is an open access article distributed under the Creative Commons Attribution License (
CC BY-NC-ND 4.0
), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.
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