Wireless sensor network coverage measurement and planning in mixed crop farming
- Submitting institution
-
University of Portsmouth
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 7110981
- Type
- D - Journal article
- DOI
-
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
- July
- 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
- Yes
- Number of additional authors
-
8
- Research group(s)
-
B - Computational Intelligence
- Citation count
- 35
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Pioneering research into agricultural IoT developments using wireless sensor network technologies. The novel model was developed and validated (by 100+ farmers) for mixed crop environments to improve crop yield and quality, reducing costs. The Malaysian government for regional agriculture adopted this technology, subsequently commercialised by Ningbo MicroEnergy Link Technology [www.nbme.com.cn/en] for smart Cloud based agricultural monitoring, and aquaculture systems. This work led to funding for research towards an RF energy collection and storage device [220K GBP; Ningbo Innovative Start-up, reference no 2015A00002] and a Novel Cloud IoT agricultural platform [250K GBP; Ningbo Free Trade Initiative, reference Tai-Ren-Cai-Ling(2020)13].
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -