ADR · Applicable knowledge
ADR evaluates whether agronomic knowledge applies to this field, crop, stage, time and operating context.
DECISION INTELLIGENCEADR
Decision Intelligence — ADR is the GEOX technology system responsible for agronomic knowledge, applicability, constraints, uncertainty and explainable recommendation.
CUSTOMER QUESTION
“What should happen next, and why?”
ADR recommends and explains. It does not approve the action or prove that execution occurred.
ILLUSTRATIVE DEMOPRODUCT CONCEPT · NOT LIVE
ADR / FIELD 24 / 09:16Review irrigation need.
- Applies to
- Corn / V8 · Field 24
- Evidence
- 09:12 soil observation; dry outlook; limited coverage.
- Constraints
- Local requirements, water, equipment and time window.
- Permission
- Not authorized at recommendation time.
Inspect evidence and limitations
- Known in the original demo
- Field 24 · Corn / V8 · soil observation 18% at 09:12 · 28°C / dry outlook.
- Provenance
- Illustrative website fixture only. No real farm, sensor, weather feed or sample file is connected.
- Limits
- Depth, calibration, spatial coverage, date and timezone are missing. A single reading cannot establish irrigation need.
- What to do
- Confirm field conditions and request professional review before any irrigation decision.
These are UI examples, not agronomic production advice.
EXPLORE THE SYSTEM BOUNDARY
What enters. What is governed. What leaves.
The categories describe responsibility and output—not automatic authority transfer to another GEOX system.
SYSTEM CONTRACT
Qualified inputs
- 01Qualified field state
- 02Applicable agronomic knowledge
- 03Operational constraints
ADR · Explainable recommendation
ADR exposes the evidence, reasoning, constraints and uncertainty behind a proposed next action.
Authority boundary
A Decision Intelligence — ADR recommendation remains distinct from B-Line approval, execution and proof of completion.
AI PARTICIPATION BOUNDARYHow AI may participate in this system
AI may participate as a model, reasoning component, knowledge extraction model, inference implementation or external decision model.
- ADR must constrain model identity and version, input references and target context.
- ADR must constrain knowledge references, runtime policy, inference output and uncertainty.
AI output does not directly become a qualified decision result.
Read the full participation modelAUTHORITY BOUNDARY
Explicit responsibility. No silent promotion.
ADR recommends and explains. It does not approve the action or prove that execution occurred.
CONTINUE EXPLORING
Explore Operations & Accountability — B-Line Explore Operations & Accountability — B-Line
Real results deserve a real record.
Field evidence and deployment results will be published as programs are validated.
Customer outcomes / Field deployments / Case studies