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Deep-Learning-Based Automatic Monitoring of Pigs' Physico-Temporal Activities at Different Greenhouse Gas Concentrations.
Bhujel A, Arulmozhi E, Moon BE, Kim HT. Bhujel A, et al. Animals (Basel). 2021 Oct 29;11(11):3089. doi: 10.3390/ani11113089. Animals (Basel). 2021. PMID: 34827821 Free PMC article.
The corresponding pig activities were observed before, during, and after an hour of the treatment. Two widely used object detection models (YOLOv4 and Faster R-CNN) were trained and compared their performances in terms of pig localization and posture detection. The YOLOv4, …
The corresponding pig activities were observed before, during, and after an hour of the treatment. Two widely used object detection models ( …
Machine Learning-Based Microclimate Model for Indoor Air Temperature and Relative Humidity Prediction in a Swine Building.
Arulmozhi E, Basak JK, Sihalath T, Park J, Kim HT, Moon BE. Arulmozhi E, et al. Animals (Basel). 2021 Jan 18;11(1):222. doi: 10.3390/ani11010222. Animals (Basel). 2021. PMID: 33477540 Free PMC article.
From the results, RFR models performed better results in both IAT (R(2) = 0.9913; RMSE = 0.476; MAE = 0.3535) and IRH (R(2) = 0.9594; RMSE = 2.429; MAE = 1.47) prediction among other models particularly with S3 input datasets. ...
From the results, RFR models performed better results in both IAT (R(2) = 0.9913; RMSE = 0.476; MAE = 0.3535) and IRH (R(2) = …