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dc.contributor.author
Groher, Tanja
dc.contributor.author
Heitkämper, Katja
dc.contributor.author
Walter, Achim
dc.contributor.author
Liebisch, Frank
dc.contributor.author
Umstätter, Christina
dc.date.accessioned
2020-11-02T14:31:26Z
dc.date.available
2020-05-24T00:41:55Z
dc.date.available
2020-05-25T14:04:53Z
dc.date.available
2020-10-30T15:14:34Z
dc.date.available
2020-11-02T14:31:26Z
dc.date.issued
2020-12
dc.identifier.issn
1385-2256
dc.identifier.issn
1573-1618
dc.identifier.other
10.1007/s11119-020-09723-5
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/416417
dc.identifier.doi
10.3929/ethz-b-000416417
dc.description.abstract
This paper presents the state of application of Precision Agricultural enabling Technology (PAT) in Swiss farms as an example for small-scale, highly mechanised Central European agriculture. Furthermore, correlations between farm and farmers’ characteristics and technology adoption were evaluated. Being part of a comprehensive and representative study assessing the state of mechanisation and automation in Swiss agriculture, this paper focuses on the adoption of Driver Assistance Systems (DAS) and activities in which Electronic Measuring Systems (EMS) are used. The adoption rate of DAS was markedly higher compared to EMS in all agricultural enterprises. The adoption rate was highest for high-value enterprise vegetables and surprisingly low for the high-value enterprise grapes. The results of a binary logistic regression showed that farmers located in the mountain zone were less likely to adopt PAT compared to farmers in the valley. Small farm size correlated with low adoption rates and vice versa showing adoption happens country-specific in the upper farm size distribution. The results show the potential for novel technologies to be adopted by farmers of high-value products. Furthermore, technologies have been partially used to reduce physical workload but not yet to evaluate crop or management performance to support decisions. However, automatic collection and forwarding of data is a fundamental step towards Smart Farming realizing its full potential in the future.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Springer
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.subject
Digitalisation
en_US
dc.subject
Precision agriculture
en_US
dc.subject
Technology uptake
en_US
dc.subject
Drivers of adoption
en_US
dc.title
Status quo of adoption of precision agriculture enabling technologies in Swiss plant production
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 4.0 International
dc.date.published
2020-05-08
ethz.journal.title
Precision Agriculture
ethz.journal.volume
21
en_US
ethz.journal.issue
6
en_US
ethz.pages.start
1327
en_US
ethz.pages.end
1350
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
Berlin
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02350 - Dep. Umweltsystemwissenschaften / Dep. of Environmental Systems Science::02703 - Institut für Agrarwissenschaften / Institute of Agricultural Sciences::03894 - Walter, Achim / Walter, Achim
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02350 - Dep. Umweltsystemwissenschaften / Dep. of Environmental Systems Science::02703 - Institut für Agrarwissenschaften / Institute of Agricultural Sciences::03894 - Walter, Achim / Walter, Achim
ethz.date.deposited
2020-05-24T00:42:14Z
ethz.source
WOS
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2020-10-30T15:14:46Z
ethz.rosetta.lastUpdated
2021-02-15T19:40:51Z
ethz.rosetta.versionExported
true
ethz.COinS
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