Wireless sensor network for small-scale farming systems in southwest Iran: Application of Q-methodology to investigate farmers' perceptions

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Wireless sensor network for small-scale farming systems in southwest Iran: Application of Q-methodology to investigate farmers' perceptions

Popis výsledku v původním jazyce

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

Název v anglickém jazyce

Wireless sensor network for small-scale farming systems in southwest Iran: Application of Q-methodology to investigate farmers' perceptions

Popis výsledku anglicky

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

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

40101 - Agriculture

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Computers and Electronics in Agriculture

ISSN

0168-1699

e-ISSN

1872-7107

Svazek periodika

2020

Číslo periodika v rámci svazku

177

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

16

Strana od-do

1-16

Kód UT WoS článku

000571756100012

EID výsledku v databázi Scopus

2-s2.0-85089808777