Wireless sensor network coverage measurement and planning in mixed crop farming
- Submitting institution
-
University of the West of Scotland
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 12791230
- Type
- D - Journal article
- DOI
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10.1016/j.compag.2014.04.012
- Title of journal
- Computers and Electronics in Agriculture
- Article number
- -
- First page
- 83
- Volume
- 105
- Issue
- -
- ISSN
- 0168-1699
- Open access status
- Out of scope for open access requirements
- Month of publication
- May
- Year of publication
- 2014
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
8
- Research group(s)
-
-
- Citation count
- 35
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper arose from a collaboration between with Malaysia and was the foundation for precision agriculture at University of Malaysia Perlis culminating in USD1 million investment in Harumanis Mango farming (https://www.google.com/maps/@6.6545574,100.2628179,526m/data=!3m1!1e3). The models developed have been used in other two MYR 219,600 (≈£43,920) funded projects in biodiversity and Malaysia-wide environmental monitoring systems (https://unisense.ceastech.com). The weather data is advancing research in rain/flood prediction in Malaysia [“Rain prediction using fuzzy rule based system in North-West Malaysia”] and has supported 2 Government sponsored PhD studentships. A workshop on WSN deployment in agriculture was organised.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -