3.8 Proceedings Paper

A Taxonomy of Intelligent Wearable Devices and Biosensors for Cattle Health Monitoring

Publisher

IEEE
DOI: 10.1109/ITC-CSCC55581.2022.9895086

Keywords

biosensor; cattle health monitoring; intelligent wearables devices; Internet-of-Things; smart farming

Funding

  1. Department of Electronics and Computer Engineering of the De La Salle University, Manila, Philippines
  2. Senior High School Department of the De La Salle University, Manila, Philippines

Ask authors/readers for more resources

Smart farming technologies, such as intelligent wearables and biosensor devices, are effective and efficient in monitoring the health of livestock. However, there is currently no classification scheme for these devices. This paper aims to develop a classification scheme for intelligent wearables and biosensors used in agricultural cattle health monitoring.
Smart farming technologies are rapidly being developed due to their effectiveness and efficiency in monitoring the health of livestock. Such examples are intelligent wearables and biosensor devices that are health monitors or disease detectors. These state-of-the-art devices are the possible future of cattle farm management as development of many minimally invasive and compact devices show to have minimal impact on the cattle. These devices have many uses such as real-time monitoring or detection making rapid responses in farms possible. However, a classification scheme or taxonomy of these technologies does not exist at this time. Thus, this paper aims to develop a classification scheme of state-of-the-art intelligent wearable devices and biosensors used in agricultural cattle health monitoring. A total of 54 studies were collected and sorted into a taxonomy classified into sensor type, its energy source, the measured health parameter as well as their body attachment area.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

3.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available