An intelligent system for livestock disease surveillance

Yazdanbakhsh, Omolbanin; Zhou, Yu; Dick, Scott

doi:10.1016/j.ins.2016.10.026

Cited by 32 publications

(13 citation statements)

References 83 publications

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“…Diseases such as mastitis in cattle or campylobacter infection in chickens can be monitored using sensor, sound and imagebased technologies at phases P1 and P2 both in poultry (Okada et al, 2014;Banakar et al, 2016;Colles et al, 2016;Grilli et al, 2018) and cattle (Steensels et al, 2016;Vandermeulen et al, 2016;Yazdanbakhsh et al, 2017;Zaninelli et al, 2018;Watz et al, 2019).…”

Section: Technologies In Developmentmentioning

confidence: 99%

Exploring the Potential of Precision Livestock Farming Technologies to Help Address Farm Animal Welfare

2021

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The rise in the demand for animal products due to demographic and dietary changes has exacerbated difficulties in addressing societal concerns related to the environment, human health, and animal welfare. As a response to this challenge, Precision Livestock Farming (PLF) technologies are being developed to monitor animal health and welfare parameters in a continuous and automated way, offering the opportunity to improve productivity and detect health issues at an early stage. However, ethical concerns have been raised regarding their potential to facilitate the management of production systems that are potentially harmful to animal welfare, or to impact the human-animal relationship and farmers' duty of care. Using the Five Domains Model (FDM) as a framework, the aim is to explore the potential of PLF to help address animal welfare and to discuss potential welfare benefits and risks of using such technology. A variety of technologies are identified and classified according to their type [sensors, bolus, image or sound based, Radio Frequency Identification (RFID)], their development stage, the species they apply to, and their potential impact on welfare. While PLF technologies have promising potential to reduce the occurrence of diseases and injuries in livestock farming systems, their current ability to help promote positive welfare states remains limited, as technologies with such potential generally remain at earlier development stages. This is likely due to the lack of evidence related to the validity of positive welfare indicators as well as challenges in technology adoption and development. Finally, the extent to which welfare can be improved will also strongly depend on whether management practices will be adapted to minimize negative consequences and maximize benefits to welfare.

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Section: Technologies In Developmentmentioning

confidence: 99%

Exploring the Potential of Precision Livestock Farming Technologies to Help Address Farm Animal Welfare

2021

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“…Yazdanbakhsh et al proposed an intelligent livestock surveillance system. They attempted many machine learning algorithms to process raw data of healthy and ill cows and finally obtained good results used a wavelet-domain ensemble classifier with 80.8% sensitivity and 80% specificity [112]. Wens Group, the largest livestock breeding enterprise in China, took the lead in carrying out research on the animal husbandry based on IoT and built the corresponding system for monitoring livestock vital signs, behavior and breeding environment information [113].…”

Section: Iot Applications In Protected Agriculturementioning

confidence: 99%

State-of-the-Art Internet of Things in Protected Agriculture

Shi

Zhao

et al. 2019

Sensors

224

125

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The Internet of Things (IoT) has tremendous success in health care, smart city, industrial production and so on. Protected agriculture is one of the fields which has broad application prospects of IoT. Protected agriculture is a mode of highly efficient development of modern agriculture that uses artificial techniques to change climatic factors such as temperature, to create environmental conditions suitable for the growth of animals and plants. This review aims to gain insight into the state-of-the-art of IoT applications in protected agriculture and to identify the system structure and key technologies. Therefore, we completed a systematic literature review of IoT research and deployments in protected agriculture over the past 10 years and evaluated the contributions made by different academicians and organizations. Selected references were clustered into three application domains corresponding to plant management, animal farming and food/agricultural product supply traceability. Furthermore, we discussed the challenges along with future research prospects, to help new researchers of this domain understand the current research progress of IoT in protected agriculture and to propose more novel and innovative ideas in the future.

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“…Posture and lying behaviors can be automatically quantified to increase the productivity and welfare of domesticated animals because changes in posture and activity indicate health and welfare issues [ 69 ]. For instance, changes in behaviors like walking, standing, and lying can indicate sickness in cows [ 70 ]. Monitoring postural changes is important in assessing calf or swine wellness or painful conditions.…”

Section: Assessing Adaptation Physiology Parametersmentioning

confidence: 99%

Transforming the Adaptation Physiology of Farm Animals through Sensors

Neethirajan¹

2020

Animals

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Despite recent scientific advancements, there is a gap in the use of technology to measure signals, behaviors, and processes of adaptation physiology of farm animals. Sensors present exciting opportunities for sustained, real-time, non-intrusive measurement of farm animal behavioral, mental, and physiological parameters with the integration of nanotechnology and instrumentation. This paper critically reviews the sensing technology and sensor data-based models used to explore biological systems such as animal behavior, energy metabolism, epidemiology, immunity, health, and animal reproduction. The use of sensor technology to assess physiological parameters can provide tremendous benefits and tools to overcome and minimize production losses while making positive contributions to animal welfare. Of course, sensor technology is not free from challenges; these devices are at times highly sensitive and prone to damage from dirt, dust, sunlight, color, fur, feathers, and environmental forces. Rural farmers unfamiliar with the technologies must be convinced and taught to use sensor-based technologies in farming and livestock management. While there is no doubt that demand will grow for non-invasive sensor-based technologies that require minimum contact with animals and can provide remote access to data, their true success lies in the acceptance of these technologies by the livestock industry.

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An intelligent system for livestock disease surveillance

Cited by 32 publications

References 83 publications

Exploring the Potential of Precision Livestock Farming Technologies to Help Address Farm Animal Welfare

Exploring the Potential of Precision Livestock Farming Technologies to Help Address Farm Animal Welfare

State-of-the-Art Internet of Things in Protected Agriculture

Transforming the Adaptation Physiology of Farm Animals through Sensors

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