Drivers and barriers to precision agriculture technology and digitalisation adoption: Meta-analysis of decision choice models

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Drivers and barriers to precision agriculture technology and digitalisation adoption: Meta-analysis of decision choice models

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Drivers and barriers to precision agriculture technology and digitalisation adoption: Meta-analysis of decision choice models

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

40100 - Agriculture, Forestry, and Fisheries

Projekt

<a href="/cs/project/QK23020058" target="_blank" >QK23020058: Precizní zemědělství a digitalizace v ČR</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2024

Kód důvěrnosti údajů

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

Název periodika

Precision Agriculture

ISSN

1385-2256

e-ISSN

1385-2256

Svazek periodika

26

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

30

Strana od-do

1-30

Kód UT WoS článku

001385850700002

EID výsledku v databázi Scopus

—