Facing the challenges of an aging agricultural workforce and rising labor costs, smart agricultural equipment represented by autonomous farm machinery and harvesting robots is rapidly integrating into the full cycle of tillage, planting, management, and harvesting, driving the agricultural production model towards highly efficient and standardized unmanned farms.

With the deep integration of IoT sensors and large AI models, traditional agriculture is rapidly transitioning towards "data-driven" precision management. Applications such as integrated water and fertilizer management, early warning of pests and diseases, and growth prediction not only significantly reduce production costs but also inject strong momentum into the green and low-carbon transformation of agriculture.