To track and monitor individual animals in groups, it is possible to use radiofrequency identification (RFID) systems. RFID encompasses all wireless communication systems that use radiofrequency fields . RFID systems consist of tags and readers . The tags contain unique identification data and can be attached to the item or, in the proposed application, to the animal that needs to be tracked . The readers are used to read and identify the tags via radiofrequency fields . The development of RFID technology started in the late 1960s and RFID systems are currently used for a large range of applications, including electronic door locking systems, contactless smart cards, and animal identification [2,3,4]. Further progress in the technology of chip manufacturing now makes RFID suitable for novel applications and available at a lower cost [4,5]. Therefore, the existing RFID technology may be applicable for animal tracking and monitoring as well. Here, different types of RFID systems will first be discussed for their applicability in individual animal tracking and monitoring, after which future work using RFID to track individual animals will be presented.
|Title of host publication||Measuring behavior 2018|
|Subtitle of host publication||Conference Proceedings: 11th International Conference on Methods and Techniques in Behavioral Research|
|Editors||Robyn Grant, Tom Allen, Andrew Spink, Matthew Sullivan|
|Place of Publication||Manchester|
|Publication status||Published - 8 Jun 2018|
|Event||Measuring Behavior 2018 - Manchester Metropolitan University, Manchester, United Kingdom|
Duration: 5 Jun 2018 → 8 Jun 2018
|Conference||Measuring Behavior 2018|
|Period||5/06/18 → 8/06/18|
van der Sluis, M., Ellen, E. D., de Haas, Y., & Rodenburg, T. B. (2018). Radiofrequency identification systems: Advantages and constraints for tracking and monitoring of individual animals. In R. Grant, T. Allen, A. Spink, & M. Sullivan (Eds.), Measuring behavior 2018: Conference Proceedings: 11th International Conference on Methods and Techniques in Behavioral Research (pp. 193-195). Manchester.