WSMS: Wearable stress monitoring system based on IoT multi-sensor platform for living sheep transportation

Y Cui, M Zhang, J Li, H Luo, X Zhang, Z Fu - Electronics, 2019‏ - mdpi.com
Farming herdsmen, sheep dealers, and veterinarians are increasingly interested in
continuously monitoring sheep basic physiological characteristics (such as the heart rate …

An overview of automatic behaviour classification for animal-borne sensor applications in South Africa

S le Roux, R Wolhuter, T Niesler - Proceedings of the ACM Multimedia …, 2017‏ - dl.acm.org
Although South Africa has a rich wildlife heritage and a thriving domestic agricultural sector,
thousands of animals are brutally poached or stolen every year. We describe a system …

Reduced energy and memory requirements by on-board behavior classification for animal-borne sensor applications

SP le Roux, R Wolhuter, N Stevens… - IEEE Sensors …, 2018‏ - ieeexplore.ieee.org
The ability to study animal behavior is important in many fields of science, including
behavioral ecology, conservation, and precision farming. These studies typically employ …

Design and adaptation of a folded split ring resonator antenna for use in an animal-borne sensor

SC Dodson, PG Wiid, TR Niesler - IOP Conference Series …, 2018‏ - iopscience.iop.org
We present the design, optimisation and practical evaluation of a folded split ring resonator
(FSRR) antenna for the purpose of radio communication with an animal-borne sensor. We …

[PDF][PDF] Microcontroller-based Machine Learning for Research on Wildlife's Behaviour

JI Baer, A Berger - Sensors and Electronic Instrumentation …, 2022‏ - researchgate.net
We use different supervised machine learning algorithms for automated behaviour
classification of wildlife and we develop a biologging devices together with the needed work …

Real-Time behaviour classification techniques in low-power animal borne sensor applications

LR Solomon Petrus - 2019‏ - scholar.sun.ac.za
The ability to study animal behaviour is important in many areas of science, including
behavioural ecology, conservation and precision farming. These studies typically employ …