Wireless sensor network for small-scale farming systems in southwest Iran: Application of Q-methodology to investigate farmers' perceptions
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F20%3A82265" target="_blank" >RIV/60460709:41330/20:82265 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/abs/pii/S0168169920308358?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/abs/pii/S0168169920308358?via%3Dihub</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.compag.2020.105682" target="_blank" >10.1016/j.compag.2020.105682</a>
Alternative languages
Result language
angličtina
Original language name
Wireless sensor network for small-scale farming systems in southwest Iran: Application of Q-methodology to investigate farmers' perceptions
Original language description
The application of wireless sensor networks (WSNs) has been promoted worldwide as an approach to smart farming, sustainable resource management and improved crop productivity. Despite their promotion, WSNs are not widely adopted in the whole world, especially by small-scale farmers. The adoption of WSN technologies is strongly affected by the perceptions of farmers who are the main users and potential adopters of such technology. Yet, the way WSN technology is perceived has been poorly studied. This study aims at closing this gap by investigating the small-scale farmers perception regarding the application of WSNs for farming systems in Khuzestan Province, Iran. This research employed Q-methodology, an approach that integrates both qualitative and quantitative data allowing to study individuals subjective understandings of a specific topic. The Q-sort procedure was performed in the field with twenty-five small-scale cereal farmers (with less than 2 ha of land). Next Q-factor analyses were conducted u
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
40101 - Agriculture
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Computers and Electronics in Agriculture
ISSN
0168-1699
e-ISSN
1872-7107
Volume of the periodical
2020
Issue of the periodical within the volume
177
Country of publishing house
GB - UNITED KINGDOM
Number of pages
16
Pages from-to
1-16
UT code for WoS article
000571756100012
EID of the result in the Scopus database
2-s2.0-85089808777