Detection of BABESIA BIGEMINA in Cattle Blood: AI and Impedance Methods

Jacob Varghese, Jacob Varghese, Allen George Thomas, Khadeeja Nilofer Saleem Mukkunnoth, Sivan Murali, Lakshmy G B

2025

Abstract

Haemoprotozoans are a diverse group of blood-borne parasites that cause significant economic losses in the veterinary field. In cattle, the three most common haemoprotozoans are Babesia, Theileria, and Anaplasma. Detection and treatment of these parasites are currently time-consuming and require laboratory facilities, which can delay treatment and lead to poorer outcomes, including increased anaemia and death. Infections also lead to diminished productivity, compromised reproductive performance, and increased vulnerability to secondary infections. To address this challenge, the project aims to develop novel technologies that will help in early detection of the parasite. The paper presents the design of an embedded AI software to detect the presence of Babesia bigemina protozoan within the cattle blood. The software used YOLO V8 model to train the system, and the software was integrated into a 3D printed open flexure microscope. The model yields a mean average precision of 66.2 percent for an IoU threshold of 0.5 and 34.7 percent for an IoU threshold of 0.5 to 0.9. The project also proposed research on the change in conductivity and impedance of the infected cattle blood and concluded that the presence of foreign particles, such as protozoans, in the blood samples resulted in a decrease in conductivity by values ranging between 2.2 to 3 milli siemens and an increase in impedance by a value within a range of approximately 330 to 450 milli ohm compared to normal blood samples.

Paper Citation

in Harvard Style

Varghese J., Thomas A., Mukkunnoth K., Murali S. and G B L. (2025). Detection of BABESIA BIGEMINA in Cattle Blood: AI and Impedance Methods. In Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT; ISBN 978-989-758-763-4, SciTePress, pages 729-734. DOI: 10.5220/0013584700004664

in Bibtex Style

@conference{incoft25,
author={Jacob Varghese and Allen George Thomas and Khadeeja Mukkunnoth and Sivan Murali and Lakshmy G B},
title={Detection of BABESIA BIGEMINA in Cattle Blood: AI and Impedance Methods},
booktitle={Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT},
year={2025},
pages={729-734},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013584700004664},
isbn={978-989-758-763-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT
TI - Detection of BABESIA BIGEMINA in Cattle Blood: AI and Impedance Methods
SN - 978-989-758-763-4
AU - Varghese J.
AU - Thomas A.
AU - Mukkunnoth K.
AU - Murali S.
AU - G B L.
PY - 2025
SP - 729
EP - 734
DO - 10.5220/0013584700004664
PB - SciTePress