AI Based Digital Twin Model for Cattle Caring

05/09/2022
by   Xue Han, et al.
0

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

READ FULL TEXT

Authors

page 1

page 2

page 3

page 4

11/17/2019

Opportunities for artificial intelligence in advancing precision medicine

Machine learning (ML), deep learning (DL), and artificial intelligence (...
05/15/2021

The Paradigm of Digital Twin Communications

With the fast evolving of cloud computing and artificial intelligence (A...
06/22/2021

Forecasting Health and Wellbeing for Shift Workers Using Job-role Based Deep Neural Network

Shift workers who are essential contributors to our society, face high r...
05/27/2022

Digital Sovereignty and Software Engineering for the IoT-laden, AI/ML-driven Era

Today's software engineering already needs to deal with challenges origi...
05/16/2020

A Deep Learning based Wearable Healthcare IoT Device for AI-enabled Hearing Assistance Automation

With the recent booming of artificial intelligence (AI), particularly de...
12/22/2020

Digital me ontology and ethics

This paper addresses ontology and ethics of an AI agent called digital m...
08/04/2021

From "Analogue" Science to AI-powered Digital Science

Phase transition from the human-limited, "analogue" way of research enqu...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.