No products in the cart.
USD $0.00
Cart
● Recorded Workshop
Precision Livestock Farming: AI for Animal Health and Sustainable Production
**“Smarter farms, healthier herds—AI-powered livestock for sustainable production.”**
Registration Closes In
00Days
00Hours
00Mins
00Secs
About This Course
Precision Livestock Farming (PLF) uses sensors and AI to monitor animal health, behavior, and farm conditions in real time—enabling early disease detection, better welfare, and more efficient production. This workshop covers smart monitoring tools (wearables, vision systems, barn sensors), AI methods for anomaly detection and prediction, and practical use cases in dairy and poultry. Participants will learn how data-driven decisions can reduce antibiotic use, optimize feed and breeding, and support sustainable, profitable livestock operations.
AIM
To equip participants with practical knowledge of Precision Livestock Farming tools and AI techniques for real-time monitoring, early disease detection, and data-driven decision-making to improve animal welfare, productivity, and sustainable livestock production.
Workshop Objectives
- Understand the fundamentals of Precision Livestock Farming (PLF) and AI in animal production
- Explore key sensing technologies (wearables, computer vision, smart barn sensors) and data sources
- Learn how AI models detect health risks and behavioral anomalies for early intervention
- Apply predictive analytics to improve feeding, breeding, and herd management decisions
- Evaluate real-world case studies to support welfare-focused, sustainable, and profitable livestock systems
Workshop Structure
Introduction to Precision Livestock Farming (PLF) & Data Foundations
- Traditional vs precision livestock farming: why PLF now? (welfare, productivity, sustainability)
- Core PLF pillars: sensing → data → AI → decision support → intervention
- Data streams in livestock systems: activity, feeding, rumination, milk/egg yield, environment
- Sensor ecosystem overview: wearables (accelerometers), smart feeders, thermal, audio, IoT barn sensors
- Basics of livestock data: time-series patterns, variability across animals, missing/noisy data
Hands On:
AI for Animal Health, Welfare & Early Warning Systems
- Health indicators & AI targets: lameness, mastitis, heat stress, respiratory stress, abnormal feeding
- AI workflow: preprocessing → feature extraction → model building → evaluation
- Anomaly detection vs prediction: when to use which in farm monitoring
- Computer vision in barns: posture/gait cues, body condition scoring, crowd behavior (concept)
- Practical deployment: thresholds, alerts, explainability, farmer-ready outputs
Hands On:
- Interpret sample sensor dashboards (activity/rumination/environment) to flag risk patterns
- Small-group task: choose a target condition + data source + AI approach and justify (e.g., heat stress using barn sensors + anomaly detection)
Decision Support for Sustainable Production & Case Studies
- Translating AI outputs into actions: treatment/referral, feed adjustment, housing changes, isolation protocols
- Sustainability layer: feed efficiency, antibiotic reduction, emission-aware monitoring (high-level)
- Evaluation metrics: welfare, productivity, cost-benefit, false alarms, adoption challenges
- Case studies: dairy and poultry PLF implementations (monitoring → intervention → outcomes)
- Implementation roadmap: pilot planning, sensor selection, data governance, scaling
Hands On:
- Build a simple early-warning model using sample time-series data (basic anomaly detection/prediction)
- Design a PLF pilot: farm type, sensors, model goal, alert strategy, and measurable outcomes
Meet Your Mentor
Who Should Enroll?
- Undergraduate and postgraduate students in Veterinary Science, Animal Science, Dairy Science, Agriculture, or Biotechnology
- Ph.D. scholars and researchers working in animal health, livestock production, precision agriculture, or sustainability
- Veterinarians, livestock consultants, and farm managers interested in data-driven herd health management
- Industry professionals from dairy/poultry/livestock companies, feed and nutrition firms, and agritech startups
- Data science/AI professionals who want to apply machine learning to animal health and smart farming systems
Join Our Hall of Fame
Take your research to the next level with NanoSchool.
Publication
Get published in prestigious open-access journals.
Excellence
Become part of an elite research community.
Networking
Connect with global researchers and mentors.
Recognition
Worth ₹20,000 in academic value.
Student Feedback
★★★★★
AI and Ethics: Governance and Regulation
Sandra Wingender •