INTEGRATED LIVESTOCK FARM MANAGEMENT AUTOMATION: SENSOR TECHNOLOGIES, PRECISION FEEDING, VETERINARY SCIENCE, AND AI ANALYTICS IN A SINGLE AGROAPP SYSTEM

Koroleva Irina Aleksandrovna, Tarasova Victoria Nikolaevna

This article explores the development of a concept for an integrated AgroApp automation system for livestock farms. The need to integrate disparate technologies into a single management system to transition from reactive to proactive management is substantiated. A platform architecture is proposed that integrates modules for sensor network data collection, precision feeding, veterinary monitoring, and AI analytics. The key element of the system is an analytical core that implements predictive models for productivity forecasting. The expected outcome of implementation is a synergistic effect, resulting in increased productivity, reduced feed and veterinary costs, and improved animal welfare. The developed concept represents a practical tool for building a «smart» farm as a cyber-physical system.

Keywords:precision livestock farming; sensors; precision feeding; predictive veterinary medicine; integrated automation; farm management