This book explores AI’s influence on agriculture and veterinary science, emphasizing its contributions to animal farming in health, nutrition, disease detection, and management, while integrating theoretical frameworks, case studies, and expert insights to address sustainability, food security, and animal welfare. It serves as a research reference and academic resource for students, researchers, and professionals in agriculture and engineering.
Indicative Topics (but not limited to only these)- AI in Animal Science – Foundations and Applications
- Machine Learning & Deep Learning in Livestock Management
- AI in Animal Health Monitoring, Diagnosis & Treatment
- Reproductive Health & Genetic Improvement using AI
- IoT & Sensor Networks for Smart Animal Farming
- Data Analytics, Big Data, and Cloud Solutions
- Robotics & Automation in Dairy and Livestock Farming
- AI for Animal Welfare, Behavior Tracking & Ethics
- Precision Farming and Sustainable Livestock Production
- Case Studies and Technological Trends in Animal Science