Table 4. Outline of various studies on pig diseases and tracking using the IRT imaging technique

No.	Camera	Measuring part	Method used	Performance	References
1	FLIROnePro	Head, back, back end	YOLOv3-SPP + Otsu	R2 = 0.774	Küster et al. [77]
2	Fluke TI32	Head, ear	SVM	Acc: 0.97–0.98	Lu et al. [78]
3	MAG64AI	Ear	Semantic segmentation	Acc: 0.921	Wang et al. [79]
4	Fluke Ti-300	Skin	BPNN, RF, SVR	MSE = 0.159°C	Jia et al. [80]
5	Fotric 287-L20	Body surface	Semantic segmentation and YOLOv4	mAP = 94.20	Xie et al. [81]
6	Fluke Ti55	Body surface	Fuzzy model	R2 = 0.95–0.99	Oliveira et al. [85]
7	FLIR T450sc	Back, head, ears	Regression models	Error= 1.5°C–1.7°C	Xiong et al. [82]
8	Testo 876-1	Body surface	Variance analysis	R2 = 0.81–0.82	Caldara et al. [83]
9	Flir ThermaCam	Body surface	Regression method	R2 = 0.38–0.80	Tabuaciri et al. [86]
10	Testo 876-1	Skin	Decision tree	Acc: 0.91–0.99	da Fonseca et al. [87]