Core Insights - The article discusses the transformation of pig farming in Chongqing, China, through the implementation of a smart farming model called "Pig Industry Brain 2.0 + Future Pig Farm," which leverages AI and big data for enhanced efficiency and productivity [1][2]. Group 1: Smart Farming Model - The "Pig Industry Brain 2.0" model integrates IoT to create a perception system, utilizing big data for decision-making and smart devices for precise execution, shifting pig farming from experience-based to data-driven management [2]. - The model has incorporated diverse business modules such as financial loans, pig trading, and information traceability, with over 50 million data points integrated into the system [2]. Group 2: Operational Efficiency - The smart farm has achieved a reduction in labor costs by 20% to 30%, a decrease in feed waste by 10%, and a reduction in pig mortality rates by over 5%, with each pig's overall cost savings ranging from 100 to 200 yuan [3]. - The AI monitoring system employs computer vision, infrared thermal imaging, and sound recognition technologies to automate 90% of inspection tasks, enhancing operational efficiency [2]. Group 3: Industry Impact - The "Pig Industry Brain" has served over 210,000 entities and facilitated more than 3 million service usages, generating 48 capability components and 490,000 industry knowledge entries, while assisting in financing over 53 million yuan and achieving online pig trading exceeding 120 billion yuan [3]. - The digital transformation is seen as a crucial step for the development of local pig industries, enhancing breeding, farming, and sales processes, while improving brand value and risk resilience [3].