Application of infrared thermography and machine learning techniques in cattle health assessments: A review

Y Wang, Q Li, M Chu, X Kang, G Liu - Biosystems Engineering, 2023 - Elsevier
Highlights•Infrared thermography is an effective tool in cattle health assessments.•The most
widely used emissivity is 0.98, used in over 60% of researches.•Machine learning …

[HTML][HTML] Deployment of an intelligent and secure cattle health monitoring system

J Arshad, TA Siddiqui, MI Sheikh, MS Waseem… - Egyptian Informatics …, 2023 - Elsevier
Abstract Wireless Sensor Networks (WSNs) are revolutionizing the globe with their sensing
technologies. This initiative aims to design and deploy a cattle health monitoring system …

[HTML][HTML] One digital health intervention for monitoring human and animal welfare in smart cities: Viewpoint and use case

A Benis, M Haghi, TM Deserno… - JMIR medical …, 2023 - medinform.jmir.org
Smart cities and digital public health are closely related. Managing digital transformation in
urbanization and living spaces is challenging. It is critical to prioritize the emotional and …

[HTML][HTML] Is Deep Learning useful for decision making in pig production?

Y Bao, P Llagostera, LM Plà-Aragonès - Internet of Things, 2024 - Elsevier
Numerous recent papers based on deep learning (DL) have been published covering a
wide range of applications to pig production. These applications provide information …

Industry 4.0-based agritech adoption in farmer producer organization: Case study approach

C Ganeshkumar, A Sivakumar, B Venugopal - Digital transformation and …, 2023 - Springer
The advent of the Fourth Industrial Revolution has transformed several sectors. Several
technologies related to information technology have helped in increasing productivity …

Reliable use of smart cameras for monitoring biometric parameters in buffalo precision livestock farming

R Matera, L Angrisani, G Neglia, A Salzano… - Acta Imeko, 2023 - acta.imeko.org
Abstract Precision Livestock Farming, as a specific sub-sector of Public Health Informatics,
focuses on the application of process engineering principles and techniques to achieve an …

Bibliometric analysis of smart livestock from 1998-2022

Y Zhou, W Tiemuer, L Zhou - Procedia Computer Science, 2022 - Elsevier
With the development of a new generation of information technology and the Internet of
Things, etc., more and more industries follow the trend of industrial upgrading or are in the …

Digital technologies and automation in livestock production systems: A digital footprint from multisource data

A Pezzuolo, H Guo, G Marchesini… - … on Metrology for …, 2021 - ieeexplore.ieee.org
In the last years, dairy production is changing fast towards smart livestock systems, driven by
the rapid pace of technological advancements as Internet of Things, big data, machine …

AI-Driven Agriculture: Opportunities and Challenges

E Vocaturo, G Rani, VS Dhaka… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Agriculture is a vital industry for both the world's food supply and economic health. The
increasing global population and the demand for sustainable food production have led to …

The Evaluation of Uncertainty in Measurements Using Artificial Neural Network Techniques

M Carratù, V Gallo, V Laino, C Liguori… - IECON 2023-49th …, 2023 - ieeexplore.ieee.org
One of the main challenges in applying Artificial Intelligence (AI) is to develop reliable
systems that simultaneously give valid and reproducible results. The popularity of such …