Adaptation of Sustainable Livestock Systems to the Impacts of Global Climate Change through Data Driven Technological Approaches

Abstract

This study addresses the increasing vulnerability of livestock systems due to global climate change, which disrupts productivity, resource availability, and farmer livelihoods. The research aims to analyze how sustainable livestock systems can adapt through data-driven technological approaches. A library-based methodology is employed, utilizing primary and secondary data from books, scientific journals, and relevant reports related to sustainable livestock, climate adaptation, and data-driven technology. Data are analyzed using content analysis to identify patterns, relationships, and key insights. The findings indicate that climate change significantly affects livestock performance, while data-driven technologies such as real-time monitoring and predictive analytics enhance adaptive capacity and decision-making. Moreover, integrating sustainability principles with technological innovation improves system resilience and economic viability. The study concludes that a holistic approach combining technology, sustainability, and institutional support is essential to strengthen livestock systems against climate change and ensure long-term productivity and food security.