Degree Type

Dissertation

Date of Award

2020

Degree Name

Doctor of Philosophy

Department

Agricultural and Biosystems Engineering

Major

Agricultural and Biosystems Engineering

First Advisor

Joshua Peschel

Abstract

Continuous monitoring of livestock is significant in enabling the early detection of impaired and deteriorating health conditions and contributes to taking preventive measures in controlling and reducing the rate of illness or disease in livestock. Therefore, research on methods and applications for improving livestock monitoring systems in accurately and in-time detection of animal behavioral changes is of utmost importance in animal health and welfare study and practice. The emergence of new technologies provides the foundation to develop automated systems for constant livestock monitoring in farms. Among all new approaches, cameras and video recording have gained popularity due to the non-invasive platform that they offer. Increasing computational power in recent years provided a unique opportunity for applying artificial neural networks to develop models for specific tasks such as detection and classification of animals and their behaviors.

DOI

https://doi.org/10.31274/etd-20200902-98

Copyright Owner

Armin Maraghehmoghaddam

Language

en

File Format

application/pdf

File Size

113 pages

Available for download on Sunday, February 28, 2021

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