Smart Decisions | AgriOS × Agricultural Foundation Model

Product Positioning

The "planting decision hub" for farms and parks. The system consolidates multi-source field data (environment, soil, water and fertilizer, pest / imagery, etc.), farm records and planting knowledge into standardized data assets. Through agricultural foundation model reasoning it produces "prescription-level strategies", then drives execution and review as tasks - upgrading planting from experience management to model management that is predictable, reviewable and replicable.

Core Capabilities

1) Prescription decisions (turning data into executable actions)

• Irrigation strategy: rhythm, duration and zone recommendations

• Water and fertilizer strategy: ratio, frequency, priority and precautions

• Environment strategy: supplemental lighting, temperature and humidity control, ventilation / roller shutter recommendations

• Pest and disease strategy: key plot identification, treatment windows and re-check nodes

2) Risk alerts (expose risks early)

• Trend recognition: continuous anomalies, rapid fluctuation, key threshold triggers

• Alert grading: ranked by impact and urgency

• Risk notes: clearly state "why the alert fired, what to handle first, how to handle it"

3) Task closed loop (turning strategy into execution)

• One-click strategy-to-task: clear owner, time, plot and operating points

• Execution records and feedback: completion status, notes, image / data return

• Review mechanism: revisit task results and continuously calibrate strategies and rules

4) Business dashboard (turning planting into computable business)

• Key indicators: water and fertilizer consumption, labor efficiency, anomaly count, loss rate, pass rate

• Trend insight: compare by plot / greenhouse / variety to locate problems faster

• Yield and quality trends: support periodic tracking and stage assessment

5) Verifiable results (turning improvement into an evidence chain)

• Comparison methods: before/after, zone comparison, same-period comparison

• Outputs: process curves, task records, alert logs, indicator reports

• Goal: make every optimization "visible, measurable and reusable"

Typical Workflow (from launch to results)

1. Basic modeling: build plot / greenhouse / crop profiles and indicator definitions

2. Data integration: connect existing sensors / devices / manual records (can be phased)

3. Strategy generation: system outputs prescription advice and risk alerts

4. Task execution: task dispatch and execution feedback, forming a closed loop

5. Review and validation: comparative analysis and report output, accumulating best practices

Applicable Scenarios

Facility agriculture (greenhouses / tunnels), open-field bases, agricultural parks, large-scale partner farms; suitable for customers with multiple plots and teams, and those who want to build a standard operating system.

Delivery Model

Platform onboarding and configuration → scenario modeling → indicator system and dashboards → pilot validation → continuous iteration (including rules / models and workflow optimization).

What You Get

Earlier alerts, more accurate decisions, more reliable execution, and a planting and management system that is traceable, verifiable and replicable.