Greenhouse Interior 3D Micro-Climate Mapping.

Fixed sensor network unable to cover all plant interspaces in greenhouses and non-homogeneous climate conditions.

REF: AGR-13
Agriculture, Livestock & Environment

Operational
Mechanism.

Technical details of field integration, data flow, and autonomous decision algorithms.

Edge Hardware

High Precision Humidity/Temperature Sensor
CO₂ Sensor
PAR Light Meter
Compact LiDAR

Artificial Intelligence

Navigation (SLAM)

Narrow aisle SLAM between greenhouse plant rows; compact navigation under growing racks

Perception & Analysis

3D Micro-Climate Gradient Map and HVAC Inefficiency Point Detection

Autonomous Workflow

The robot roams between greenhouse plant rows and under racks, collecting temperature, humidity, CO₂, and light (PAR) data at points unreachable by fixed sensors.

3D micro-climate map generated; 'hot pocket', 'cold zone', and 'high humidity' areas identified.

HVAC optimization recommendations transmitted to greenhouse BMS; fan direction and heating points automatically adjusted.

Plant-level stress risk map enables fertigation (fertilizer-irrigation) dosage optimization.

Operational ROI.
Strategic Decision.

EXPECTED BALANCE IMPACT

Annual $46,000 yield increase and energy savings. ROI: 2.3x | Payback: 2.0 Years.

Increases greenhouse crop yield by average 22%; reduces energy consumption by 15% with smart HVAC.

Review Architecture
Plans with
Professional Presentation.

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