Yeo, U.-H.; Jo, S.-K.; Kim, S.-H.; Park, D.-H.; Jeong, D.-Y.; Park, S.-J.; Shin, H.; Kim, R.-W.
Applicability of Machine-Learned Regression Models to Estimate Internal Air Temperature and CO2 Concentration of a Pig House. Agronomy 2023, 13, 328.
https://doi.org/10.3390/agronomy13020328
AMA Style
Yeo U-H, Jo S-K, Kim S-H, Park D-H, Jeong D-Y, Park S-J, Shin H, Kim R-W.
Applicability of Machine-Learned Regression Models to Estimate Internal Air Temperature and CO2 Concentration of a Pig House. Agronomy. 2023; 13(2):328.
https://doi.org/10.3390/agronomy13020328
Chicago/Turabian Style
Yeo, Uk-Hyeon, Seng-Kyoun Jo, Se-Han Kim, Dae-Heon Park, Deuk-Young Jeong, Se-Jun Park, Hakjong Shin, and Rack-Woo Kim.
2023. "Applicability of Machine-Learned Regression Models to Estimate Internal Air Temperature and CO2 Concentration of a Pig House" Agronomy 13, no. 2: 328.
https://doi.org/10.3390/agronomy13020328
APA Style
Yeo, U.-H., Jo, S.-K., Kim, S.-H., Park, D.-H., Jeong, D.-Y., Park, S.-J., Shin, H., & Kim, R.-W.
(2023). Applicability of Machine-Learned Regression Models to Estimate Internal Air Temperature and CO2 Concentration of a Pig House. Agronomy, 13(2), 328.
https://doi.org/10.3390/agronomy13020328