He emphasized that while agricultural technology resources are abundant, smallholder farmers often rely on traditional practices and face challenges with aging populations and a gap in technology application.

　　“There is a pressing need for sustainable intellectual support systems,“ he said.

　　Furthermore, the scattered nature of urban land combined with diverse farming operations complicates the provision of traditional agricultural technology, leading urban agriculture to require more flexible and localized decision-making support compared to the industrialized model of large-scale tomato production in northwest China's Xinjiang.

　　“The core value of this system lies in establishing a bridge between technology innovators and the needs of farmers, enhancing decision-making for farmers while providing data support for government industrial planning,“ said Wang.

　　The technological edge shows promise. At Chongzhou's Longxing Town, intelligent transplanters demonstrate 20 percent efficiency gains through automated U-turns and AI-optimized planting patterns.

　　Veteran farmer Liu Decheng paused from adjusting an AI-guided transplanter to check his phone's pest alert.

　　“Last year, the system warned of stem borers three days before I spotted them,“ he admitted, “but my organic pesticide mix worked better than its chemical suggestion.“■