Precision Agriculture Technologies for Crop and Livestock Production in the Czech Republic

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12510%2F22%3A43905207" target="_blank" >RIV/60076658:12510/22:43905207 - isvavai.cz</a>

Result on the web

<a href="https://www.mdpi.com/2077-0472/12/8/1080" target="_blank" >https://www.mdpi.com/2077-0472/12/8/1080</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/agriculture12081080" target="_blank" >10.3390/agriculture12081080</a>

Result language

angličtina

Original language name

Precision Agriculture Technologies for Crop and Livestock Production in the Czech Republic

Original language description

Modern technologies are penetrating all fields of human activity, including agriculture, where they significantly affect the quantity and quality of agricultural production. Precision agriculture can be characterised as an effort to improve the results of practical farming, achieving higher profits by exploiting the existing spatial unevenness of soil properties. We aim to evaluate precision agriculture technologies’ practical use in agricultural enterprises in the Czech Republic. The research was based on a questionnaire survey in which 131 farms participated. We validated the hypothesis through a Chi-squared test on the frequency of occurrence of end-use technology. The results showed that precision farming technologies are used more in crop than livestock production. In particular, 58.02% of enterprises use intelligent weather stations, 89.31% use uncrewed vehicles, and 61.83% use navigation and optimisation systems for optimising journeys. These technologies are the most used and closely related to autonomous driving and robotics in agriculture. The results indicate how willing are agricultural enterprises to adopt new technologies. For policy makers, these findings show which precision farming technologies are already implemented. This can make it easier to direct funding towards grants and projects.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

50204 - Business and management

Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2022

Confidentiality

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

Name of the periodical

Agriculture

ISSN

2077-0472

e-ISSN

2077-0472

Volume of the periodical

12

Issue of the periodical within the volume

8

Country of publishing house

CH - SWITZERLAND

Number of pages

18

Pages from-to

1-18

UT code for WoS article

000846413200001

EID of the result in the Scopus database

2-s2.0-85141678826