Improving piglets health and well-being: A review of piglets health indicators and related sensing technologies

Sadeghi, Ehsan; Kappers, Claudie; Chiumento, Alessandro; Derks, Marjolein; Havinga, Paul

doi:10.1016/j.atech.2023.100246

Cited by 13 publications

(13 citation statements)

References 119 publications

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“…Body temperature, a crucial health indicator, is categorized into three classes based on the measurement zone: core temperature (measured close to the main organs via various sensors), mid-peripheral temperature (measured between the core and skin using implanted microchips), and peripheral or surface temperature (measured from the animals skin, eye, ear, udder, or leg) [ 45 ]. External measurements are less reliable because of factors such as vasodilatation, vasoconstriction, and external heat sources.…”

Section: Application Of Infrared Thermography For Pig Diseases and Cr...mentioning

confidence: 99%

“…Remote health monitoring using thermal imaging in pig farming offers a non-invasive and effective method to monitor pig health, improve welfare, and optimize farm management practices. This technology has the potential to revolutionize how farmers care for their pigs, ensuring better health outcomes and increased efficiency in the industry [ 45 ]. Integrating IRT into sustainable pig production offers multifaceted benefits.…”

Section: Application Of Infrared Thermography For Pig Diseases and Cr...mentioning

confidence: 99%

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Thermal imaging and computer vision technologies for the enhancement of pig husbandry: a review

Reza,

Ali,

Samsuzzaman

et al. 2024

J Anim Sci Technol

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Pig farming, a vital industry, necessitates proactive measures for early disease detection and crush symptom monitoring to ensure optimum pig health and safety. This review explores advanced thermal sensing technologies and computer vision-based thermal imaging techniques employed for pig disease and piglet crush symptom monitoring on pig farms. Infrared thermography (IRT) is a non-invasive and efficient technology for measuring pig body temperature, providing advantages such as non-destructive, long-distance, and high-sensitivity measurements. Unlike traditional methods, IRT offers a quick and labor-saving approach to acquiring physiological data impacted by environmental temperature, crucial for understanding pig body physiology and metabolism. IRT aids in early disease detection, respiratory health monitoring, and evaluating vaccination effectiveness. Challenges include body surface emissivity variations affecting measurement accuracy. Thermal imaging and deep learning algorithms are used for pig behavior recognition, with the dorsal plane effective for stress detection. Remote health monitoring through thermal imaging, deep learning, and wearable devices facilitates non-invasive assessment of pig health, minimizing medication use. Integration of advanced sensors, thermal imaging, and deep learning shows potential for disease detection and improvement in pig farming, but challenges and ethical considerations must be addressed for successful implementation. This review summarizes the state-of-the-art technologies used in the pig farming industry, including computer vision algorithms such as object detection, image segmentation, and deep learning techniques. It also discusses the benefits and limitations of IRT technology, providing an overview of the current research field. This study provides valuable insights for researchers and farmers regarding IRT application in pig production, highlighting notable approaches and the latest research findings in this field.

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Section: Application Of Infrared Thermography For Pig Diseases and Cr...mentioning

confidence: 99%

Section: Application Of Infrared Thermography For Pig Diseases and Cr...mentioning

confidence: 99%

Thermal imaging and computer vision technologies for the enhancement of pig husbandry: a review

Reza,

Ali,

Samsuzzaman

et al. 2024

J Anim Sci Technol

View full text Add to dashboard Cite

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“…There may be other factors that can affect the sensor data, such as the environment or the person's individual physiology. It is also important to use wearable sensor data in conjunction with other methods, such as clinical assessments, to make accurate diagnoses and treatment decisions [67][68][69][70][71][72].…”

Section: B E-healthmentioning

confidence: 99%

Investigations in Security Challenges and Solutions for M2M Communications—A Review

Manikandan

2024

IJEETC

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The Internet of Things (IoT) is becoming increasingly popular, and machine-to-machine (M2M) technology is one of its major components. Reducing human interaction and tasks is one of the most important justifications for research in M2M communication. Also, M2M technology decreases network traffic, improving network effectiveness. In contrast, multiple networks are combined into M2M networks, which leads to security-related design concerns. However, a significant barrier to its growth is security. According to statistics, new gadgets may come under attack five minutes after they connect to the Internet. If these issues are resolved, it will be easier for people to trust this worldview. Security issues with possible solutions have gotten little attention despite extensive M2M studies. This article provides a comprehensive security analysis of M2M communication technologies, exploring the risks and solutions to better comprehend M2M communication and its security implications.

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“…Radar technology has emerged as a promising tool for a wide array of applications in both human and animal health monitoring, particularly excelling in vital sign estimation [6]- [9]. The benefits include the elimination of the need for direct skin contact and disrobing, along with radars' reduced sensitivity to environmental factors such as light, temperature, and humidity, in contrast to other non-wearable sensors like cameras and infrared sensors.…”

Section: Introductionmentioning

confidence: 99%

“…The benefits include the elimination of the need for direct skin contact and disrobing, along with radars' reduced sensitivity to environmental factors such as light, temperature, and humidity, in contrast to other non-wearable sensors like cameras and infrared sensors. Furthermore, radar-based sensing addresses existing privacy concerns and issues present with other non-invasive technologies, such as cameras [6]. In literature, the utilization of radar technology for vital sign detection has demonstrated promising outcomes and holds the potential to enhance the management of various medical conditions.…”

Section: Introductionmentioning

confidence: 99%

Comprehensive mm-Wave FMCW Radar Datasetfor Vital Sign Monitoring: Embracing ExtremePhysiological Scenarios

Sadeghi,

Skurule,

Chiumento

et al. 2024

Preprint

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Recent advancements in non-invasive health mon-itoring technologies underscore the potential of mm-WaveFrequency-Modulated Continuous Wave (FMCW) radar in real-time vital sign detection. This paper introduces a novel dataset,the first of its kind, derived from mm-Wave FMCW radar,meticulously capturing heart rate and respiratory rate undervarious conditions. Comprising data from ten participants, in-cluding scenarios with elevated heart rates and participants withdiverse physiological profiles such as asthma and meditationpractitioners, this dataset is validated against the Polar H10sensor, ensuring its reliability for scientific research. This datasetcan offer a significant resource for developing and testingalgorithms aimed at non-invasive health monitoring, promising tofacilitate advancements in remote health monitoring technologies.

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Improving piglets health and well-being: A review of piglets health indicators and related sensing technologies

Cited by 13 publications

References 119 publications

Thermal imaging and computer vision technologies for the enhancement of pig husbandry: a review

Thermal imaging and computer vision technologies for the enhancement of pig husbandry: a review

Investigations in Security Challenges and Solutions for M2M Communications—A Review

Comprehensive mm-Wave FMCW Radar Datasetfor Vital Sign Monitoring: Embracing ExtremePhysiological Scenarios

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