Core Viewpoint - The article highlights the transformative impact of AI technology on agriculture, particularly in aquaculture and sericulture, showcasing how AI enhances efficiency, productivity, and product quality in these sectors [2][31]. Group 1: Aquaculture Innovations - In Guangxi's modern fishery innovation center, AI enables real-time monitoring and management of fish ponds, allowing for remote control via mobile devices [4][10]. - A precision feeding system has been implemented, resulting in a 15% increase in protein content and improved fish quality [9]. - The integration of ecological practices allows for the recycling of water from fish farming to irrigate crops, promoting a dual-use system that benefits both fish and agriculture [12][31]. - Advanced freezing technology at the processing plant ensures fish freshness, with a complete traceability system in place [14]. Group 2: Sericulture Advancements - AI technology has revitalized traditional silk farming in Guangxi, acting as a "cyber caretaker" for silkworms and providing real-time monitoring through smart devices [18][20]. - Automated inspection robots continuously monitor the health of silkworms, ensuring optimal conditions for growth [22]. - A data-driven approach has been adopted, utilizing decades of sericulture experience to train AI for disease recognition and management, enhancing the overall health and productivity of silkworms [27]. Group 3: Overall Impact of AI in Agriculture - AI is portrayed as a warm and productive tool rather than a cold technology, lowering barriers for new farmers and enabling them to replicate expert knowledge [31]. - The article emphasizes that technology is now deeply rooted in agricultural practices, contributing to increased income and improved product quality [31].