Recent trends in RFID transponders

Senadeera, Praharshin M.; Dogan, N.S.; Xie, Zhijian; Savci, Huseyin S.; Kateeb, Ibraheem; Ketel, Mohammed

doi:10.1109/secon.2013.6567362

“…However, the quality of the mating process remains to be studied and investigated. If other types or sizes of transponders are used [34], the height of the funnel should be adjusted to capture the transponder's signal by the antenna adequately. The harmonic radar system is one of the remarkable types of technology used in tracking and monitoring bee flight behavior in the field [13].…”

Section: Discussionmentioning

confidence: 99%

RFID Technology Serving Honey Bee Research: A Comprehensive Description of a 32-Antenna System to Study Honey Bee and Queen Behavior

Alburaki¹,

Madella²,

Corona³

2021

Preprint

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The fields of electronics and information technology have witnessed rapid development during the last decades, providing significant technical support to the field of biological sciences. Radio-Frequency Identification (RFID) technology has been used to automate the monitoring of animal location and behaviors in a wide range of vertebrate and invertebrate species, including social insects such as ants and honey bees (Apis mellifera L.) This technology relies on electromagnetic fields to identify and track transponders attached to objects automatically. Implementing new technologies to serve research purposes could be time-consuming and require technical expertise from entomologists and researchers. Herein, we present a detailed description on how to harness RFID technology to serve honey bee research effectively. We describe how to build and operate a 32-antenna RFID system used to monitor various honey bee behaviors such as foraging, robbing, queen and drone mating, which can be used in other social insects as well. Preliminary data related to queen nuptial flights were obtained using this unit and presented in this study. Virgin queens labeled with ~5mg transponders performed multiple (1-4) nuptial/orientation flights a day (9 am to 5 pm) ranging from 8 to 145 seconds each. Contrary to virgin queens, no hive exit was recorded for mated-queens. At full capacity, this unit can monitor up to 32 honey bee colonies concurrently and is self-sustained by a solar panel to work in remote areas. All materials, hardware and software needed to build and operate this unit are detailed in this study, offering researchers and beekeepers a practical solution and a comprehensive source of information enabling the implementation of RFID technology in their research perspective.

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“…The quality of the mating process, however, remains to be studied and investigated. If other types or sizes of transponders are used [27], the height of the funnel should be adjusted to capture the transponder's signal by the antenna adequately. Despite providing valuable data on honey bee foraging behavior, previous studies used immobile RFID equipment fixed in on a single hive or location and relied on the availability of electric power.…”

Section: Discussionmentioning

confidence: 99%

RFID Technology Serving Honey Bee Research: A Comprehensive Description of a 32-Antenna System to Study Honey Bee and Queen Behavior

Alburaki¹,

Madella²,

Corona³

2021

Preprint

1

0

View full text Add to dashboard Cite

The fields of electronics and information technology have witnessed rapid development during the last decades, providing significant technical support to the field of biological sciences. Radio-Frequency Identification (RFID) technology has been used to automate the monitoring of animal location and behaviors in a wide range of vertebrate and invertebrate species, including social insects such as ants and honey bees (Apis mellifera L.) This technology relies on electromagnetic fields to identify and track transponders attached to objects automatically. Implementing new technologies to serve research purposes could be time-consuming and require technical expertise from entomologists and researchers. Herein, we present a detailed description on how to harness RFID technology to serve honey bee research effectively. We describe how to build and operate a 32-antenna RFID system used to monitor various honey bee behaviors such as foraging, robbing, queen and drone mating, which can be used in other social insects as well. Preliminary data related to queen nuptial flights were obtained using this unit and presented in this study. Virgin queens labeled with ~5mg transponders performed multiple (1-4) nuptial/orientation flights a day (9 am to 5 pm) ranging from 8 to 145 seconds each. Contrary to virgin queens, no hive exit was recorded for mated-queens. At full capacity, this unit can monitor up to 32 honey bee colonies concurrently and is self-sustained by a solar panel to work in remote areas. All materials, hardware and software needed to build and operate this unit are detailed in this study, offering researchers and beekeepers a practical solution and a comprehensive source of information enabling the implementation of RFID technology in their research perspective.

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“…The development of the WSN makes the vision of the Internet of things come true. WSN has more advantages than traditional RFID such as WSN is low cost, low power consumption, automatic management and high degree of cooperation [1]. With the continuous improvement of the smart phones, PDA, tablet PCs and other mobile intelligent terminals and mobile information environment, the user's behavior patterns are constantly changing, which enables a variety of information services of the mobile network environment to become a new area of potential growth and provides a wealth of contextual information for personalized recommendation.…”

Section: Introduction Imentioning

confidence: 99%

Personalized Recommendation System Based on WSN

Zhang

¹

,

Xu

²

,

Zhang

³

et al. 2016

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Abstract-Aiming at the limitation of the traditional user modeling technology in the personalized recommendation system, a new user modeling method based on wireless sensor network and ontology technology is introduced in this paper. In order to retrieve the tourist attractions conforming to the users' needs from a large amount of the tourist information, a personalized recommendation model based on the ontology technology and travel information is designed in this paper. Absorbing the context awareness research achievement, combining with the mobile Internet context sensitive features, the personalized recommendation algorithm based on ontology is discussed. The application research of the ontology technology applying in collaborative filtering recommendation system is analyzed deeply, and then the personalized and visual information push service delivery for users is realized. The experimental results show that the proposed WsnTRS recommendation system has a higher prediction accuracy comparing with the existing similar algorithms.

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Recent trends in RFID transponders

Cited by 8 publications

References 17 publications

RFID Technology Serving Honey Bee Research: A Comprehensive Description of a 32-Antenna System to Study Honey Bee and Queen Behavior

RFID Technology Serving Honey Bee Research: A Comprehensive Description of a 32-Antenna System to Study Honey Bee and Queen Behavior

RFID Technology Serving Honey Bee Research: A Comprehensive Description of a 32-Antenna System to Study Honey Bee and Queen Behavior

Personalized Recommendation System Based on WSN

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