Application of Radio Frequency Identification (RFID) Technology in Dairy Herd Management

Singh, Akhilesh Kumar; Ghosh, Sudipta; Roy, Biswajit; Tiwari, Deepak Kumar; Baghel, Ravi

doi:10.5455/ijlr.20140208085018

Cited by 10 publications

(7 citation statements)

References 13 publications

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“…A través de la identificación inalámbrica y rápida de cada individuo, se logró una mayor precisión en la recolección de datos clínicos y comportamentales (Barge et al, 2013). Este avance permitió detectar anomalías tempranas y facilitar la administración de tratamientos y medicamentos (Singh et al, 2014). La fidelidad y frecuencia de la recopilación de información aumentaron significativamente debido a la automatización y simplificación del proceso de registro (Curti et al, 2023).…”

Section: Resultados Análisisunclassified

Mejora en la gestión del bienestar animal mediante el uso de sistemas RFID: Implementación y desafíos en CRIAR-Riobamba

Santillán-Valdiviezo,

Jinez-Tapia,

Reina-Haro

et al. 2024

MQRInvestigar

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Este estudio explora la implementación de un sistema RFID en el Centro de Rescate CRIAR-Riobamba, destacando su efectividad en el monitoreo y mejoramiento del bienestar animal. A través de una metodología experimental, que incluye el análisis de datos mediante IBM SPSS y ThingSpeak, se evaluó la precisión del sistema RFID en la localización y seguimiento de la salud de los animales, contribuyendo significativamente a optimizar las tasas de adopción. Los resultados evidencian una mejora notable en la gestión del cuidado animal, resaltando la importancia de incorporar tecnologías avanzadas en centros de rescate. La investigación subraya la relevancia de adoptar sistemas RFID y similares para fortalecer las operaciones de rescate y cuidado animal, promoviendo un modelo de gestión más eficiente y efectivo. Este enfoque no solo beneficia a los animales mediante el cuidado mejorado y una mayor probabilidad de adopción, sino que también establece un precedente valioso para la práctica en el campo del rescate animal, incentivando a otros centros a considerar la integración de tecnologías innovadoras en sus operaciones.

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Section: Resultados Análisisunclassified

Mejora en la gestión del bienestar animal mediante el uso de sistemas RFID: Implementación y desafíos en CRIAR-Riobamba

Santillán-Valdiviezo,

Jinez-Tapia,

Reina-Haro

et al. 2024

MQRInvestigar

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“…The use of RFID tags in livestock has been explored in various applications requiring unique animal identification. As Singh et al (2014) outlined, RFID transponders have been tested as ear tags, rumen boluses, collars, and microchips that are imbedded in the skin.…”

Section: Discussionmentioning

confidence: 99%

Comparison of beef traceability in serial and parallel fabrication systems using RFID and two-dimensional barcodes1

Foster

Schweihofer

Grooms

et al. 2018

Translational Animal Science

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Traceability of beef attributes from small- and mid-sized farms through supply chains is a market barrier. The objective of this trial was to determine the influence of fabrication method on beef traceability system requirements. Individual identities of 54 animals were maintained through harvest, processing, packaging, and distribution. At harvest, each animal’s unique radio frequency identification (RFID) animal identification number was transferred to a harvest label on each carcass quarter. Following transportation to a processor, nine carcasses were processed on alternating days by one of the two methods. Carcasses were fabricated, using a serial fabrication method (SFM), into wholesale cuts one at a time or fabricated using a parallel fabrication method (PFM), by processing multiple hindquarters or forequarters simultaneously into wholesale cuts. In-process labels were generated by scanning the two-dimensional (2D) barcode on the harvest label with a handheld mobile computer and printed from a wireless mobile printer. Tracking of SFM and PFM carcass quarters was accomplished by creating in-process labels for lugs and individual wholesale cuts, respectively. The process was recorded and the data was captured from video analysis. The mean number of in-process labels generated per carcass for SFM was 3.7 and for PFM was 30.9 (P < 0.01). The amount of time required for generating in-process labels for SFM (2 min 16 s) was less than PFM (8 min 45 s) (P = 0.01). The amount of time required to label each carcass was less (P < 0.01) for SFM (18 s) than for PFM (3 min 10 s) with in-process labels. Total cost of traceability, including fixed and consumable cost per carcass, was nearly twice as much for PFM ($17.98) than SFM ($9.02). Traceability, within both processing methods, was found to have 100% fidelity, as verified using DNA marker genotyping. Overall, the number of labels generated for traceability was less for SFM than that for PFM. The overall time spent on generating, applying, and removing labels was less for SFM than that for PFM. The total cost of traceability was approximately half for SFM compared with that for PFM; however both methods were able to track product accurately. Tracking of beef from individual animals, using RFID ear tags and 2D barcodes, appears to be feasible for the fabrication methods used in this study.

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“…The effective and accurate recognition of individual dairy cattle is the prerequisite and foundation for recording and analyzing the animal's behavior automatically [20]. Radio frequency identification (RFID) technology is an accurate, convenient, and rapid method of identifying cattle identities, and it has been widely used in dairy farms [21]. RFID is the typical electronic identification device usually carried out by marking electronic ear tags.…”

Section: Individual Recognition Of Dairy Cowsmentioning

confidence: 99%

“…When an RFID tag passes through the field of the scanning antenna, it detects the activation signal from the antenna, which "wakes up" the RFID chip, and it transmits information on its microchip that is picked up by the scanning antenna. RFID can also be a tool for dairy managers, and its use can result in the efficient management of large herds via automatic weighting and health monitoring [21]. In dairy farming management, the use of RFID non-contact automatic identification technology can provide accurate individual data for each cow, which is of great significance for the orderly management and monitoring of the entire process of breeding links.…”

Section: Individual Recognition Of Dairy Cowsmentioning

confidence: 99%

A Review on Information Technologies Applicable to Precision Dairy Farming: Focus on Behavior, Health Monitoring, and the Precise Feeding of Dairy Cows

Liu,

Qi,

et al. 2023

Agriculture

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Milk production plays an essential role in the global economy. With the development of herds and farming systems, the collection of fine-scale data to enhance efficiency and decision-making on dairy farms still faces challenges. The behavior of animals reflects their physical state and health level. In recent years, the rapid development of the Internet of Things (IoT), artificial intelligence (AI), and computer vision (CV) has made great progress in the research of precision dairy farming. Combining data from image, sound, and movement sensors with algorithms, these methods are conducive to monitoring the behavior, health, and management practices of dairy cows. In this review, we summarize the latest research on contact sensors, vision analysis, and machine-learning technologies applicable to dairy cattle, and we focus on the individual recognition, behavior, and health monitoring of dairy cattle and precise feeding. The utilization of state-of-the-art technologies allows for monitoring behavior in near real-time conditions, detecting cow mastitis in a timely manner, and assessing body conditions and feed intake accurately, which enables the promotion of the health and management level of dairy cows. Although there are limitations in implementing machine vision algorithms in commercial settings, technologies exist today and continue to be developed in order to be hopefully used in future commercial pasture management, which ultimately results in better value for producers.

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Application of Radio Frequency Identification (RFID) Technology in Dairy Herd Management

Cited by 10 publications

References 13 publications

Mejora en la gestión del bienestar animal mediante el uso de sistemas RFID: Implementación y desafíos en CRIAR-Riobamba

Mejora en la gestión del bienestar animal mediante el uso de sistemas RFID: Implementación y desafíos en CRIAR-Riobamba

Comparison of beef traceability in serial and parallel fabrication systems using RFID and two-dimensional barcodes1

A Review on Information Technologies Applicable to Precision Dairy Farming: Focus on Behavior, Health Monitoring, and the Precise Feeding of Dairy Cows

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