中文

Journal of Intelligent Agricultural Mechanization ›› 2023, Vol. 4 ›› Issue (2): 22-34.DOI: 10.12398/j.issn.2096-7217.2023.02.003

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Advances in pig-specific sensors

YANG Liang1, WANG Hui1, CHEN Ruipeng1, SHENG Qingkai2YUAN Zhen3, XIONG Benhai1*#br#   

  1. 1. State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China; 2. Institute of Animal Husbandry and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan 250199, China; 3. Shandong Xinji Animal Husbandry Co., Ltd., Tai'an 271299, China
  • Online:2023-05-15 Published:2023-05-15

Abstract: Traditional pig farming has disadvantages such as high labor costs, low breeding efficiency, and high work intensity, which restrict the development of agricultural modernization. The scale, intensive and digital-oriented breeding model has become an inevitable requirement for the development of precision animal husbandry, and individual farming and health monitoring technology based on professional sensors has become the main direction of research. This paper introduces the research progress of pig-specific sensors from three aspects: behavioural sensors, growth and physiological sensors, and disease detection sensors. The outbreak of African swine fever has increased the demand for sensor technology and accelerated the development of new sensing methods. In assessing the adaptive physiology of livestock, sensor technology is essential for measuring physiological parameters of livestock due to its ability to capture time series of behavioural and physiological data. Biosensors and wearable technologies, based on advanced statistical and computer science methods, are used to predict and assess adaptive responses and resilience of livestock. Real-time analysis of animal body condition data such as sound, images and video can improve the biological indicators of livestock. Future developments in sensor technology will facilitate farmers to gain a comprehensive understanding of the health and welfare of their animals. Sensor devices will gradually move from contact to non-contact, so as to reduce he psychological stress on the animals. In terms of behavioural monitoring, video monitoring avoids the problem of traditional wearable devices affecting animals through long-distance target tracking. In terms of the reliability of individual animal identification algorithms, achieving accurate identification of multiple target individuals will be the focus of research. In terms of the applicability of animal behaviour detection algorithms, the study of the complex behaviour of individual animals will be a key research direction. In terms of individual animal disease prediction, the focus will be on achieving early identification of physiological responses in pigs and improving animal health and welfare. This study introduces the purpose of pig sensors to create value for society by improving animal health and welfare, increasing animal productivity, reducing production costs, and minimizing environmental pollution.

Key words: pigs, sensors, behaviour, growth physiology, disease detection

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