Posted Date : 07th Mar, 2025
Peer-Reviewed Journals List: A Guide to Quality Research Publications ...
Posted Date : 07th Mar, 2025
Choosing the right journal is crucial for successful publication. Cons...
Posted Date : 27th Feb, 2025
Why Peer-Reviewed Journals Matter Quality Control: The peer revie...
Posted Date : 27th Feb, 2025
The Peer Review Process The peer review process typically follows sev...
Posted Date : 27th Feb, 2025
What Are Peer-Reviewed Journals? A peer-reviewed journal is a publica...
Proposed Applications of Artificial Intelligence in Birds Healthcare System
Author Name : Krishan Kumar, Nitasha Soni, Akshit Balana, Sneha Pathak
ABSTRACT
Due to anthropogenic disturbance the health of wildlife population is under threat. A low-cost, effective system is required to detect and mitigate the health issues of birds to complement the conventional surveillance system. An AI based system using the knowledge of ornithology is proposed for the betterment of bird’s health. Artificial intelligence (AI) is perceived as the most transformative technology of the 21st century. Healthcare has been identified as an early candidate to be revolutionized by AI technologies. Various clinical and patient – facing applications have already reached healthcare practice with the potential to ease the pressure on healthcare staff, bring down costs and ultimately improve the lives of patients. The complexity and rise of data in healthcare means that AI will increasingly be applied within the field. Several types of AI are already being employed by payers and providers of care, and life science companies. The key categories of applications involve diagnosis and treatment recommendations, patient engagement and adherence, and administrative activities.
In this paper, we have reviewed some machine learning models which are used in Artificial Intelligence as applications in Animal Healthcare system like detection of behavior, sleep patterns and sentiments as like humans, animals also pretend to response emotions and actions which are detectable and classifiable, which can be used in veterinary solutions for experts.
Keywords – Birds health, clinical classification, image processing, AI