scholarly journals Using Body Surface Temperature Sensors to Detect a Fever and Its Relationship with the Infection Dynamics of Pathogens Related to Brdc during the Introduction of Calves at a Deposit Ranch

2022 ◽  
Vol 75 (1) ◽  
pp. e1-e8
Author(s):  
Manami ANZAI ◽  
Shunsuke AKAMA ◽  
Shuji YONEYAMA ◽  
Tomomi OZAWA ◽  
Hiroshi SAWADA ◽  
...  
2017 ◽  
Vol 29 (1) ◽  
pp. 112 ◽  
Author(s):  
Y. Nishimura ◽  
M. Mise ◽  
K. Imai ◽  
O. Dochi

Predicting the onset of calving is important for the prevention of stillbirths. This study aimed to investigate whether using body-surface temperature and number of steps at the time of calving could be used to predict calving time. Three heifers and 4 cows of the beef cattle variety were used in this study. All animals were housed in calving pens measuring 4.2 × 3.6 m each. Body-surface temperature was recorded using a sensor that was fixed ventrally to the body of the tail head (NIAH, NARO, Tsukuba, Japan). The number of steps the beef cattle took was measured using pedometers (Gyuho, Comtec, Miyazaki, Japan), where each 10 steps resulted in 1 count. The temperature sensors and pedometers were placed on the animals for at least 10 days before the estimated date of delivery. Body-surface temperature and pedometer readings were automatically collected every 2 min and every hour. The data used to predict calving were the means of the body-surface temperature and steps taken, which were recorded from the day the sensors were mounted until 1 day after calving. All data were statistically analysed using t-tests. The mean body-surface temperature before calving was 35.4°C (10 h), which was significantly lower than that recorded 3 days before calving (36.2°C; P < 0.05). The mean body-surface temperature of beef cattle 10 to 6 h before calving (36.0°C) was not significantly different from the mean temperature 3 days before calving. However, from 5 to 1 h before calving, the mean body-surface temperature (34.8°C) was significantly lower than that 3 days before calving (P < 0.05). The mean step number of 101.4 counts, taken 10 h before calving, was significantly increased compared with the mean step number of 44.7 counts 3 days before calving (P < 0.05). The mean step number of 59.7 counts from 10 to 6 h before calving was not significantly different from readings taken 3 days before calving. The mean step number count from 5 to 1 h before calving was 143.1 counts, which increased significantly from readings taken 3 days before calving (P < 0.05). In conclusion, ventral tailhead body-temperature sensors and pedometers can be used to predict the onset of calving in beef cattle. Their body-surface temperature, along with the number of steps taken before calving, decreased and increased, respectively, in the 5 h leading up to calving. This study was supported by the Council for Science, Technology and Innovation (CSTI), Cross-ministerial Strategic Innovation Promotion Program (SIP), and the Technologies for creating next-generation agriculture, forestry and fisheries (funding agency: Bio-oriented Technology Research Advancement Institution, NARO).


2017 ◽  
Vol 26 (2) ◽  
pp. 1037-1044
Author(s):  
Eu-Jin Jung ◽  
Lae-Guen Jang ◽  
Geun-Hoon Choi ◽  
Hyon Park

2014 ◽  
Vol 54 (9) ◽  
pp. 1476 ◽  
Author(s):  
N. Y. Kim ◽  
S. J. Kim ◽  
J. H. Park ◽  
M. R. Oh ◽  
S. Y. Jang ◽  
...  

The present study aimed to gather basic information on measuring body surface temperature (BST) of cattle by using infrared thermography (IRT) and find out whether BST measurement is a useful method to detect thermal balance of livestock. Twenty-seven Hanwoo steers were examined in a field trial. The BST of five body regions (eye, nose, horn, ear, rear) was measured five times daily, with three replicates, during 3 days each season. Body surface temperature of cattle is directly affected by ambient temperature and humidity, and showed different ranges for each region. The BSTs of nose, horns and ears were significantly (P < 0.05) lower than those of eyes and rear area. Rear-area BST was significantly lower than eye-area BST when the ambient temperature was low (P < 0.05). Eye BST (EBST) was highest (P < 0.05) and the least variable of all BSTs measured. Therefore, the eye area of cattle was the most thermostable part of the body. There were significant (P < 0.05) differences among seasonal EBSTs of steers. The EBST range was highest in the summer (37.9–42.2°C), followed by autumn (34.3–37.4°C), spring (33.8–36.5°C) and winter (29.8–32.6°C). During extreme cold, EBST showed a large standard deviation. During conditions of extreme heat, EBST was above the average body temperature of cattle. The results of the present study indicated that BST well reflects the thermal circumstances surrounding animals and may be used as one of the effective tools for precision cattle farming.


2021 ◽  
Vol 2 (1) ◽  
pp. 27-32
Author(s):  
M. Adhyatma ◽  
Gayuh Syaikhullah ◽  
Himmatul Khasanah

his study aims to assess the physiological response through body surface temperature of Brahman Cross beef by giving different rest periods. This study used 24 Brahman Cross cattle in several slaughterhouses in West Java. Observation of microclimatic conditions includes temperature, humidity, THI (temperature-humidity index). Data collections of livestock body surface temperature was carried out when the cattle arrive at the slaughterhouse, while they are in the holding pen and the restraining box. Comparative tests were carried out on the surface temperature of cows under different conditions using a completely randomized design (CRD). This study showed that the body surface temperature was still in the normal range, between 30.89-36.75 °C. Analysis of variance showed that different rest periods had a significant effect  (P <0.05) on body surface temperature change in the eye area in the three pre-cutting stages. Providing a 24 hours rest period resulted in lower stress response in livestock.


2018 ◽  
Vol 8 (8) ◽  
pp. e01040
Author(s):  
Makoto Takahashi ◽  
Akiko Shinya ◽  
Naohito Ito ◽  
Junya Ebina ◽  
Keisuke Abe ◽  
...  

2018 ◽  
Vol 14 (1) ◽  
pp. 87-102 ◽  
Author(s):  
Katarzyna Gruszka ◽  
◽  
Grzegorz Jędrzejewski ◽  
Krzysztof A. Sobiech ◽  
Agnieszka Chwałczyńska ◽  
...  

Sensors ◽  
2020 ◽  
Vol 20 (18) ◽  
pp. 5221
Author(s):  
Alexandra Lengling ◽  
Antonius Alfert ◽  
Bernd Reckels ◽  
Julia Steinhoff-Wagner ◽  
Wolfgang Büscher

Fattening pig husbandry and associated negative environmental impacts due to nitrogen inputs by ammonia emissions are current issues of social discussion. New resource-efficient feeding systems offer great potential to reduce excess nutrient inputs into the environment. Using ultrasound measurements, fattening pigs can be divided into performance groups based on their backfat/muscle ratio to feed them according to their nutritional needs. Ultrasound measurements are not suitable for practical use, so alternatives have to be found. As a non-invasive, contactless method, infrared thermography offers many advantages. This study investigated whether infrared thermography can be used to differentiate between “fat” and “lean” animals. Two evaluation methods with different measurement spot sizes were compared. During a fattening period, 980 pigs were examined three times with an infrared camera. Both methods showed significant differences. Body surface temperature was influenced by factors like measurement spot size and soiling of the animals. Body surface temperature decreased (−5.5 °C), while backfat thickness increased (+0.7 cm) in the course of the fattening period. Significant correlations (R > |0.5|; p < 0.001) between both parameters were found. Differentiation between “fat” and “lean” animals, based on temperature data, was not possible. Nevertheless, the application of thermography should be investigated further with the aim of resource-efficient feeding. The results of this feasibility study can serve as a basis for this.


Sign in / Sign up

Export Citation Format

Share Document