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<div class="csl-entry">Mallinger, K., Corpaci, L., Neubauer, T., Tikasz, I. E., & Banhazi, T. (2023). Unsupervised and supervised machine learning approach to assess user readiness levels for precision livestock farming technology adoption in the pig and poultry industries. <i>Computers and Electronics in Agriculture</i>, <i>213</i>, Article 108239. https://doi.org/10.1016/j.compag.2023.108239</div>
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dc.identifier.issn
0168-1699
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/199166
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dc.description.abstract
This study used machine learning, particularly k-means clustering, to identify distinct clusters of users and their technological readiness to adopt various precision livestock farming (PLF) technologies based on their responses to a carefully designed questionnaire. The analysis revealed initially two as well as three distinct clusters representing different levels of technological readiness among farmers considering the adoption of various PLF technologies. In addition to the validation of the cluster results by internal metrics, a related principal component analysis, and a focus group evaluation, this paper describes the application of a Decision Tree as an explainable supervised machine learning approach to investigate the predictive power of specific survey questions. In combination, this research aims to provide valuable insights for understanding farmers’ technological readiness, to enhance further survey designs, and to support the development of targeted strategies to promote the successful adoption of PLF technologies in the agricultural sector generally.
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dc.language.iso
en
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dc.publisher
ELSEVIER SCI LTD
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dc.relation.ispartof
Computers and Electronics in Agriculture
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dc.subject
Clustering
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dc.subject
Decision tree
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dc.subject
K-means
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dc.subject
Machine learning
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dc.subject
Precision livestock farming
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dc.subject
Survey data
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dc.subject
User attitudes
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dc.title
Unsupervised and supervised machine learning approach to assess user readiness levels for precision livestock farming technology adoption in the pig and poultry industries