Wireless energy transfer by means of inductive coupling for dairy cow health monitoring

Minnaert, Ben; Thoen, Bart; David, Paul A.; Joseph, Wout; Stevens, Nobby

doi:10.1016/j.compag.2018.07.010

Cited by 8 publications

(5 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Ideally, the lifetime of the monitory system should match the animal's lifetime. Recently, research has been performed on the potential of wireless power transfer to power the sensors' batteries during short amounts of times when the cows are drinking or are being milked (Minnaert et al, 2018). A follow-up study with a larger sample size is required to validate the findings from this paper from a relatively limited set of cows and to consider different conditions (e.g., heifers, dystocia) and longer periods, as well as to include other anomalies in dairy cattle (e.g., heat stress, lameness).…”

Section: Influence Of the Detection Time Intervalmentioning

confidence: 99%

Calving and estrus detection in dairy cattle using a combination of indoor localization and accelerometer sensors

Benaissa

Tuyttens

David

et al. 2020

Computers and Electronics in Agriculture

View full text Add to dashboard Cite

Accelerometers (neck-and leg-mounted) and ultra-wide band (UWB) indoor localization sensors were combined for the detection of calving and estrus in dairy cattle. In total, 13 pregnant cows and 12 cows with successful insemination were used in this study. Data were collected two weeks before and two weeks after delivery for calving. Similarly, data were collected two weeks before and two weeks after artificial insemination (AI) for estrus. Different cow variables were extracted from the raw data (e.g., lying time, number of steps, ruminating time, travelled distance) and used to build and test the detection models. Logistic regression models were developed for each individual sensor as well as for each combination of sensors (two or three) for both calving and estrus. Moreover, the detection performance within different time intervals (24h, 12h, 8h, 4h, and 2h) before calving and AI was investigated.In general, for both calving and estrus, the performance of the detection within 2-4 hours was lower than for 8h-24h. However, the use of a combination of sensors increased the performance for all investigated detection time intervals. For calving, similar results were obtained for the detection within 24h, 12h, and 8h. When one sensor was used for calving detection within 24-8h, the localization sensor performed best (Precision (Pr) 73-77%, Sensitivity (Se) 57-58%, Area under curve (AUC) 90-91%), followed by the leg-mounted accelerometer (Pr 67-77%, Se 54-55%, AUC= 88-90%) and the neck-mounted accelerometer (Pr 50-53%, Se 47-48%, AUC= 86-88%). As for calving, the results of estrus were similar for the time intervals 24h-8h. In this case, similar results were obtained when using any of the three sensors separately as when combining a neck-and a leg-mounted accelerometers (Pr 86-89%, Se 73-77%). For both calving and estrus, the performance improved when localization was combined with either the neck-or leg-mounted accelerometer, especially for the sensitivity (73-91%). Finally, for the detection with one sensor within a time interval of 4h or 2h, the Pr and Se decreased to 55-65% and 42-62% for estrus and to 40-63% and 33-40% for calving. However, the combination of localization with either leg or neck-mounted accelerometer as well as the combination of the three sensors improved the Pr and Se compared to one sensor (Pr 72-87%, Se 63-85%). This study demonstrates the potential of combining different sensors in order to develop a multifunctional monitoring system for dairy cattle.

show abstract

Section: Influence Of the Detection Time Intervalmentioning

confidence: 99%

Calving and estrus detection in dairy cattle using a combination of indoor localization and accelerometer sensors

Benaissa

Tuyttens

David

et al. 2020

Computers and Electronics in Agriculture

View full text Add to dashboard Cite

show abstract

“…Distinguishing cattle foraging activities using accelerometry-based activity monitors is widely reported in the literature. For example, grazing behavior [46], lying, standing or walking [47], walking and standing [48], lying time and frequency of lying bouts [49], lying behavior [50], grazing, rest, travel [51]. In [52], an in-depth study of wireless sensor networks applied to the monitoring of animal behavior in the field is described.…”

Section: Foraging Ecologymentioning

confidence: 99%

Internet of Things for evaluating foraging and feeding behavior of cattle on grassland-based farming systems: concepts and review of sensor technologies

Álvarez¹,

Valdés²,

Perez-Teruel³

2019

Proceedings of ISP RAS

View full text Add to dashboard Cite

In this paper, we give an overview of the movement, foraging and feeding ecology as well as sensors technologies that could be embedded into an IoT-based platform for Precision Livestock Farming (PLF). A total of 43 peer-reviewed journal papers indexed by Web of Science were surveyed. Firstly, sensors technologies (e.g., RFID, GPS, or Accelerometer) used by the authors of each paper were identified. Then, papers were classified according to their applicability to ecological studies in the fields of foraging and feeding behavior.

show abstract

“…It has gained global acceptance, and is used to supply the power for many applications in several fields, such as electric vehicles (EVs) [2][3][4][5][6][7][8][9][10][11][12][13][14], online electric vehicles (OLEVs) [15][16][17], plug-in hybrid electric vehicle (PHEVs) [18], superconducting magnetic levitation trains (maglev) [19], implantable medical devices (IMDs) [20][21][22][23][24][25][26][27][28][29][30][31], and consumer electronics [32][33][34]. In addition, it has been used in the charging systems of autonomous underwater vehicles (AUVs) [35], the rotary of a gas turbine [36], and Internet of Things (IoT) applications [37][38][39].…”

Section: Introductionmentioning

confidence: 99%

Magnetically Coupled Resonance WPT: Review of Compensation Topologies, Resonator Structures with Misalignment, and EMI Diagnostics

2018

View full text Add to dashboard Cite

Magnetically coupled resonance wireless power transfer systems (MCR WPT) have been developed in recent years. There are several key benefits of such systems, including dispensing with power cords, being able to charge multiple devices simultaneously, and having a wide power range. Hence, WPT systems have been used to supply the power for many applications, such as electric vehicles (EVs), implantable medical devices (IMDs), consumer electronics, etc. The literature has reported numerous topologies, many structures with misalignment effects, and various standards related to WPT systems; they are usually confusing and difficult to follow. To provide a clearer picture, this paper aims to provide comprehensive classifications for the recent contributions to the current state of MCR WPT. This paper sets a benchmark in order to provide a deep comparison between different WPT systems according to different criteria: (1) compensation topologies; (2) resonator structures with misalignment effects; and, (3) electromagnetic field (EMF) diagnostics and electromagnetic field interference (EMI), including the WPT-related standards and EMI and EMF reduction methods. Finally, WPT systems are arranged according to the application type. In addition, a WPT case study is proposed, an algorithm design is given, and experiments are conducted to validate the results obtained by simulations.

show abstract

Wireless energy transfer by means of inductive coupling for dairy cow health monitoring

Cited by 8 publications

References 27 publications

Calving and estrus detection in dairy cattle using a combination of indoor localization and accelerometer sensors

Calving and estrus detection in dairy cattle using a combination of indoor localization and accelerometer sensors

Internet of Things for evaluating foraging and feeding behavior of cattle on grassland-based farming systems: concepts and review of sensor technologies

Magnetically Coupled Resonance WPT: Review of Compensation Topologies, Resonator Structures with Misalignment, and EMI Diagnostics

Contact Info

Product

Resources

About