Computer vision-based precision livestock farming: An overview of the challenges and opportunities

• Authors: Daniel A. Olubummo , Rotimi-Williams Bello
• Languages of publication: EN

Abstracts

EN

ABSTRACT Different measures have been employed by livestock caretakers for the detection and monitoring of health and welfare status of their livestock. However, being performed manually has made the task a labor intensive, costly and time-consuming exercise. Various modern technologies have been explored by many studies to improve the livestock production, from among which computer vision has proven to be highly effective and efficient; nevertheless, a thorough investigation into the application of computer vision reveals noteworthy obstacles to embracing and implementing it in precision livestock farming such as cattle farming. Among the obstacles are 1) unavailability of reliable public cattle datasets and 2) lack of tested and trusted generalized methods/models employ in conducting research and experiment on new datasets. This paper presents an overview of the challenges and possible directions and future research opportunities of computer vision-based precision livestock farming.

Keywords

EN

Cattle; Challenges; Computer vision; Opportunities; Precision livestock farming

Discipline

• AGRICULTURAL_ENGINEERING: AGRICULTURAL ENGINEERING

• Publisher: Scientific Publishing House „DARWIN”
• Journal: World News of Natural Sciences
• Year: 2024
• Volume: 54
• Pages: 26-37

Contributors

author

Daniel A. Olubummo

• Department of Computer and Information Systems, Robert Morris University, Moon-Township, Pennsylvania, USA

author

Rotimi-Williams Bello

• Department of Mathematics and Computer Science, University of Africa, Toru-Orua, 561101 Sagbama, Bayelsa, Nigeria

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• Document Type: article