Mahato, S.; Neethirajan, S. Integrating Artificial Intelligence in Dairy Farm Management - Biometric Facial Recognition for Cows. Preprints2024, 2024012032. https://doi.org/10.20944/preprints202401.2032.v1
APA Style
Mahato, S., & Neethirajan, S. (2024). Integrating Artificial Intelligence in Dairy Farm Management - Biometric Facial Recognition for Cows. Preprints. https://doi.org/10.20944/preprints202401.2032.v1
Chicago/Turabian Style
Mahato, S. and Suresh Neethirajan. 2024 "Integrating Artificial Intelligence in Dairy Farm Management - Biometric Facial Recognition for Cows" Preprints. https://doi.org/10.20944/preprints202401.2032.v1
Abstract
The integration of Artificial Intelligence (AI) in dairy farm management through biometric facial recognition for cows is a significant stride in livestock management. This review critically evaluates the evolution, applications, and challenges of AI-driven biometric facial recognition in dairy farming. It emphasizes the role of this technology in enhancing individual monitoring of dairy cows, providing accurate health, behavior, and productivity tracking. Originally derived from human facial recognition systems, this approach utilizes distinctive bovine facial features for essential, non-invasive, real-time monitoring in large-scale operations. The progression of AI from elementary pattern recognition to advanced Convolutional Neural Networks (CNNs) and deep learning models marks a shift toward data-driven farming. This study addresses key challenges such as environmental variability, data collection hurdles, ethical concerns, and technological limitations. It also contrasts various AI models, spotlighting their unique strengths and practical utility in dairy farming scenarios. Despite these challenges, facial recognition technology holds promise for improving farm efficiency, animal welfare, and sustainable practices, highlighting the need for continuous research and development. The review concludes by advocating for future research focused on environmental adaptability, ethical AI application, cross-breed compatibility, and integration with other farming technologies. Ultimately, it underscores AI's transformative potential in modernizing dairy farming towards a more data-oriented, responsible agricultural future.
Keywords
Dairy Welfare; Digital Livestock Farming; Dairy Cow Biometrics; Facial Recognition Technology; Artificial Intelligence in Agriculture; Digital Agriculture Innovation; Precision Dairy Farming; AI-Driven Livestock Management; Animal Identification Technology; Sustainable Dairy Practices
Subject
Biology and Life Sciences, Animal Science, Veterinary Science and Zoology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
