Cite
Unsupervised and supervised machine learning approach to assess user readiness levels for precision livestock farming technology adoption in the pig and poultry industries.
MLA
Mallinger, Kevin, et al. “Unsupervised and Supervised Machine Learning Approach to Assess User Readiness Levels for Precision Livestock Farming Technology Adoption in the Pig and Poultry Industries.” Computers & Electronics in Agriculture, vol. 213, Oct. 2023, p. N.PAG. EBSCOhost, https://doi.org/10.1016/j.compag.2023.108239.
APA
Mallinger, K., Corpaci, L., Neubauer, T., Tikász, 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. Computers & Electronics in Agriculture, 213, N.PAG. https://doi.org/10.1016/j.compag.2023.108239
Chicago
Mallinger, Kevin, Luiza Corpaci, Thomas Neubauer, Ildikó E. Tikász, and Thomas Banhazi. 2023. “Unsupervised and Supervised Machine Learning Approach to Assess User Readiness Levels for Precision Livestock Farming Technology Adoption in the Pig and Poultry Industries.” Computers & Electronics in Agriculture 213 (October): N.PAG. doi:10.1016/j.compag.2023.108239.