AI Based Digital Twin Model for Cattle Caring
Not on the map. Why?
Abstract (arXiv)
In this paper, we developed innovative digital twins of cattle status that are powered by artificial intelligence (AI). The work was built on a farm IoT system that remotely monitors and tracks the state of cattle. A digital twin model of cattle health based on Deep Learning (DL) was generated using the sensor data acquired from the farm IoT system. The health and physiological cycle of cattle can be monitored in real time, and the state of the next physiological cycle of cattle can be anticipated using this model. The basis of this work is the vast amount of data which is required to validate the legitimacy of the digital twins model. In terms of behavioural state, it was found that the cattle treated with a combination of topical anaesthetic and meloxicam exhibits the least pain reaction. The digital twins model developed in this work can be used to monitor the health of cattle
Key facts. No citing papers in the map yet (data through 13 Oct 2026). Builds on 9 of its 67 references that are in the map. First posted on arXiv 9 May 2022.
Builds on
9 of 67 references.
References · 9
- 2016Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translationcited by 1,473
- 2016Deep Networks with Stochastic Depthcited by 977
- 2014Deep Learning in Neural Networks: An Overviewcited by 767
- 2014A Clockwork RNNcited by 71
- 2018Parameter Re-Initialization through Cyclical Batch Size Schedulescited by 3
- 2022A Wearable ECG Monitor for Deep Learning Based Real-Time Cardiovascular Disease Detectioncited by 3
- 2022Human Biometric Signals Monitoring based on WiFi Channel State Information using Deep Learningcited by 2
- 2022Negative-ResNet: Noisy Ambulatory Electrocardiogram Signal Classification Schemecited by 1
- 2022Significant Low-dimensional Spectral-temporal Features for Seizure Detectioncited by 1
Built on by
Not cited yet.