CattleCare+: AI-Powered QR-Based Dairy Farm Management System

Abstract

Traditional dairy farm management relies on frag-mented manual record-keeping across paper registers, spread-sheet applications, and messaging platforms, resulting in in-consistent data capture and limited analytical capability. This paper presents CattleCare+, a mobile-first, QR-enabled farm management system that digitises end-to-end dairy operations through validated manual data entry and AI-powered analytics. Each animal is assigned a unique QR-coded identifier for rapid profile retrieval and streamlined daily reporting. The backend, implemented using Python with FastAPI/Flask, persists struc-tured data in a NoSQL document store and computes automated 30-day summaries of milk yield, operational expenses, and profit/loss at both individual cow and herd levels. Integration with the Anthropic Claude API delivers intelligent insights, anomaly detection, and actionable recommendations. Experimental evalu-ation confirms that the system substantially reduces data-capture time, improves data completeness, and provides decision-critical analytics, positioning CattleCare+ as a practical and scalable solution for small to mid-sized dairy farms.