Drivers and barriers to precision agriculture technology and digitalisation adoption: Meta-analysis of decision choice models
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F24%3A100842" target="_blank" >RIV/60460709:41110/24:100842 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/article/10.1007/s11119-024-10213-1" target="_blank" >https://link.springer.com/article/10.1007/s11119-024-10213-1</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s11119-024-10213-1" target="_blank" >10.1007/s11119-024-10213-1</a>
Alternative languages
Result language
angličtina
Original language name
Drivers and barriers to precision agriculture technology and digitalisation adoption: Meta-analysis of decision choice models
Original language description
The article defines the key determinants of adopting precision agriculture technologies and digitalisation. The research objectives are fulfilled by the systematic review and meta-analysis of relevant studies, identified and selected in accordance with the PRISMA protocol in the Web of Science and Scopus databases. The findings emphasize the importance of socio-economic factors, such as education, age, and farm size. High technical literacy and adequate information about new technologies—including their expected profitability—are crucial for assessing the benefits of precision agriculture and digitalisation, on which a more considerable expansion of these technologies into the practice of agricultural entities depends. Large and capital-intensive enterprises are more likely to implement new technologies in production practices, especially if they are led by younger and more educated managers who are more open to modern technologies and are more willing to take risks.
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
40100 - Agriculture, Forestry, and Fisheries
Result continuities
Project
<a href="/en/project/QK23020058" target="_blank" >QK23020058: Precision agriculture and digitization in the Czech Republic</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Precision Agriculture
ISSN
1385-2256
e-ISSN
1385-2256
Volume of the periodical
26
Issue of the periodical within the volume
1
Country of publishing house
US - UNITED STATES
Number of pages
30
Pages from-to
1-30
UT code for WoS article
001385850700002
EID of the result in the Scopus database
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