The Verdant Intelligence Platform senses every node of the chain, decides what to grow and where it sells, and orchestrates the flow from plot to plate — in real time.
Demand matched
Active plots
Forecast accuracy
Traceable batches
Demand vs. planting
Planting allocation
to demand cap · MILP
Quality & traceability
CV grading · batch provenance
Product interface shown is illustrative of the platform’s capabilities.
The platform turns a fragmented chain into a single feedback loop: it senses the plot, forecasts the market, decides what to grow, coordinates every tier, traces every batch, and closes the loop at the point of sale.
Sense
Forecast
Decide
Coordinate
Trace
Sell
Each module is a discipline of its own — perception, matching, forecasting, traceability, orchestration and demand. Together they form the Verdant Intelligence Platform.
VerdantSense
Unifies climate, soil, agronomy, price history, live demand and remote-sensing data, with computer-vision perception of crop, disease, yield and grading from satellite and UAV imagery.
VerdantMatch
Retrieves the proven crop mix of the most similar villages (Case-Based Reasoning) and allocates planting to the demand cap with a mixed-integer program — plant to demand, never overproduce.
VerdantForecast
Machine-learning models forecast demand and price on live order data, so planting decisions track where the market is heading, not where it has been.
VerdantTrace
Computer-vision grading and batch-level traceability give every product a verifiable provenance — from the plot it grew on to the buyer who receives it.
VerdantFlow
A multi-agent system coordinates farmer, aggregator, buyer and quality agents across the chain — each node senses and sends data, the platform queries the engine, and the decision is routed back.
VerdantMarket
A B2B2C network linking verified, traceable supply to paying demand — national and urban buyers, e-commerce and live-commerce channels, and corporate off-take.
It senses every node of the chain, queries a decision engine, and routes the answer back — in real time.
Every node senses and streams its state to the platform; the platform queries the decision engine and routes the answer back. The links run both ways, in real time — supply and demand stay in lockstep.
BROKER
central engine
Farmer
农户
Demand
需求
Aggregator
集货
Quality
质量
Perception, retrieval, optimization, forecasting and coordination — chained into a single decision the platform can act on.
Perception
CVCrop, disease, yield & grading from imagery.
Retrieval
CBR · kNNReuse the proven crop mix of the most similar villages.
Optimization
MILPAllocate planting to the demand cap — never overproduce.
Forecasting
MLForecast demand on live order data.
Coordination
MASOrchestrate every tier of the supply chain.
Demand-driven allocation
MILPmax Σ (E[πⱼ]ρₚⱼ − κₚⱼ) xₚⱼ s.t. Σ xₚⱼ ≤ Aₚ, Σ ρₚⱼxₚⱼ ≤ DⱼPlant to the demand cap — never overproduce. π price · ρ yield · κ cost · A area · D demand.
Plant to the demand cap — never overproduce.
solvers: exact MILP (small) · GA · SA · PSO · Tabu Search (large) · learned policy
Case-Based Reasoning is the moat. Each village we onboard enriches a shared case base — its proven crop mix and outcomes become a warm start for the next similar village. The engine doesn't copy the way software does; it learns from real ground truth, so accuracy and speed grow with scale.
Same engine, any village
Capital-light — no new model per village.
Case base compounds
Each deployment is faster and cheaper than the last.
10+ provinces → national
Proven replication beyond Yunnan.
A global problem
~200M smallholders in China; ~500M+ worldwide.
The demand network closes the loop: graded, traceable produce flows to e-commerce and live-commerce channels, and to corporate and institutional buyers under contract.
Consumer channels
Branded, premium produce reaches national and urban shoppers directly — provenance verified, batch by batch.
Off-take demand
National & urban buyers
Beijing · Shanghai · Kunming
E-commerce shoppers
Pinduoduo · Tmall · Douyin
Health-food & traceable-food communities (B2B2C)
Corporate & institutional buyers
Architecture grounded in Case-Based Reasoning & Multi-Agent Systems research for agri-food supply chains (Procedia Computer Science 232, 2024).
拾千农 · 得万村 · Onboard a thousand farmers, reach ten thousand villages.
VerdantSource turns coordination into compounding returns — connecting fragmented supply to real demand, village by village.