Artificial Intelligence in Agriculture (Mar 2019)

Study on body temperature detection of pig based on infrared technology: A review

  • Zaiqin Zhang,
  • Hang Zhang,
  • Tonghai Liu

Journal volume & issue
Vol. 1
pp. 14 – 26

Abstract

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Body temperature is an important physiological indicator in the whole process of pig breeding. Temperature measurement is also an effective means to assist in disease diagnosis and pig health monitoring. In the conventional method of measuring body temperature, a mercury column is used to obtain the rectal temperature. The operation of this method is complicated and requires a large amount of labor. This kind of temperature measurement method is contact and can make the pig stressed, which is disadvantageous for the healthy growth of pigs. Therefore, rectal temperature measurement no longer meets the needs of the large-scale pig industry in China's welfare agriculture. In recent years, the emerging pig body temperature detection technologies are electronic temperature measurement technology, infrared temperature measurement technology and so on. Infrared temperature measurement technology has been the main means of measuring the temperature of pig body surface with its advantages of non-contact, long distance and real-time. At present, infrared temperature measurement technology and infrared image processing technology used in pig breeding are still in the exploration stage. Nowadays, the infrared temperature measurement equipment based on point-by-point analysis represented by infrared thermometer and temperature measurement equipment based on full-field analysis represented by infrared thermal imager have been applied to pig breeding industry. These types of temperature measurement are more in line with the needs of the pig breeding industry to transform and upgrade to the automation, in line with the development concept of welfare farming and smart agriculture, and its development prospects are very impressive. Keywords: Pig body temperature measurement, Non-contact, Infrared image processing