Apply AI to animal health, nutrition and genetics.
Biotechnology & Genetic Engineering
Module-by-module breakdown of Precision Livestock: AI-Driven Health, Nutrition & Genetics, from foundations to a certified capstone project.
Monitoring
โข Accelerometer, rumination and location sensing on individual animals
โข Computer vision for body condition, lameness and behaviour
โข Sensor attachment, welfare and data loss under farm conditions
Health
โข Behavioural change as an early illness indicator, and its weak specificity
โข Mastitis, lameness and respiratory disease detection models
โข Alert thresholds set against the cost of a missed case and a false alarm
Nutrition
โข Individual intake measurement and feed conversion efficiency
โข Ration formulation and precision supplementation
โข Methane and nitrogen output as environmental performance measures
Genetics
โข Genomic estimated breeding values and reference population requirements
โข Trait recording quality as the limit on genetic progress
โข Balancing production traits against health, fertility and welfare
Practice
โข Animal welfare framing and avoiding pure productivity optimisation
โข Farm data ownership, platform interoperability and lock-in
โข Return on investment at herd scales typical in the region
e-Certificate and e-Marksheet issued on successful completion.