Improving Carcass Characteristics and Meat Quality with Calcareous Algae Diets: Integrating Health Prediction AI for Enhanced Livestock Production

Abstract

Livestock production is a critical component of global food security, with continual efforts to enhance productivity and sustainability. This study investigates the potential of integrating calcareous algae diets to improve carcass characteristics and meat quality in livestock, while leveraging Health Prediction AI for optimized production outcomes. Carcass characteristics and meat quality are paramount factors influencing consumer preference and economic viability in the meat industry. Conventional feeding practices often focus on maximizing growth rates, neglecting the holistic impact on carcass composition and meat quality. In contrast, calcareous algae, rich in essential nutrients and bioactive compounds, offer a promising alternative to conventional diets. Through a series of controlled feeding trials, we evaluated the effects of calcareous algae inclusion in livestock diets on carcass traits, including dressing percentage, carcass weight, and meat quality parameters such as tenderness, juiciness, and flavor. Results demonstrated significant improvements in carcass yield and meat quality attributes among animals fed with calcareous algae diets compared to those on conventional diets. Furthermore, the integration of Health Prediction AI facilitated real-time monitoring and predictive analytics of livestock health status. By analyzing multifactorial data streams including animal behavior, physiological parameters, and environmental variables, the AI model accurately predicted health outcomes and optimized nutritional interventions.