The math inside the engine.引擎背后的数学。

Five stages, one decision五段流程,一个决策

Each discipline is a stage in a single pipeline. Perception reads the field, retrieval recalls what worked, optimization allocates planting to demand, forecasting points it at the market, and coordination keeps every tier in lockstep. The output is one decision the platform can act on.每个学科都是同一条流水线上的一段流程。感知读取田间,检索回溯有效经验,优化将种植分配到需求,预测将其对准市场,协同让每一层级步调一致。输出的是平台可直接落地执行的同一个决策。

Three models do the heavy lifting三个模型挑起最重的活

The engine is small and legible by design: retrieve the most similar cases, allocate planting to the demand cap, and forecast where demand is heading. Here is the math, in the open.引擎在设计上小而可读:检索最相似的案例,将种植分配到需求上限,并预测需求的走向。这里把数学完全公开。

The platform is the broker平台即枢纽

Four agents wrap the chain — plot, aggregator, demand and quality. Each senses its node and streams state to the platform; the platform queries the engine and routes the decision back. Every link runs both ways, in real time.四个智能体环绕整条链路——地块、聚合商、需求与质量。各自感知所在节点并将状态实时回传平台;平台查询引擎,再把决策路由回去。每条链路都双向实时运行。