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Machine Learning for PLF Adoption Readiness by singjim58 is a document available to read on EtoBox.
What is Machine Learning for PLF Adoption Readiness about?
This study employs machine learning techniques, specifically k-means clustering and Decision Trees, to analyze survey data from 266 farms in the pig and poultry industries to assess user readiness for precision livestock farming (PLF) technology adoption. The research identifies distinct clusters of farmers based on their technological readiness and evaluates the predictive power of survey questions related to their attitudes towards PLF technologies. The findings aim to inform policymakers and stakeholders
- Author
- singjim58
- Language
- EN