PalmSense
Multimodal Sensing Platform
See. Hear. Feel. Understand.
PalmSense integrates computer vision, acoustic sensing, LiDAR, and environmental IoT to deliver complete plantation awareness — from canopy to root, day and night.
One Platform. Five Sensing Dimensions.
Every corner of your plantation, every signal, every anomaly — captured, processed, and delivered as actionable intelligence.
Computer Vision
Multispectral and thermal drone scanning reveals ripeness indicators, canopy health, and density metrics invisible to the human eye.
Tree Health Monitoring
AI-powered detection of disease outbreaks, nutrient deficiencies, and Ganoderma infection — catch problems before they spread.
Pest & Wildlife Detection
Identify pest infestations and wildlife intrusions through aerial imaging and acoustic signatures, with instant alerts.
Acoustic Sensing
IoT-deployed microphones monitor environmental soundscapes for biodiversity assessment, equipment anomalies, and intruder detection.
LiDAR & 3D Mapping
3D canopy structure analysis, precision terrain mapping for autonomous navigation, and standing biomass estimation.
Environmental IoT
Ground-level sensor mesh monitors soil moisture, NPK nutrients, pH, microclimate temperature, humidity, and wind conditions.
Haptic Sensing
Fruit firmness assessment and grip-force optimization for PalmBot robotic harvesting integration — sense before you cut.
Harvest Intelligence
Generate AI-optimized harvest routes fusing ripeness, terrain, and weather data. Maximize yield while minimizing field time.
5-Level Ripeness Classification
One powerful module within PalmSense. Our AI model is trained on thousands of FFB samples across different cultivars and environmental conditions.
Unripe
Not ready, 2+ weeks to harvest
Underripe
Almost ready, 1 week to harvest
Ripe
Optimal harvest window
Overripe
Harvest immediately
Rotten
Quality degraded, process separately
Sensor Fusion
No single sensor tells the whole story. PalmSense fuses data across all five dimensions into a unified intelligence layer — surfacing insights no standalone sensor can reveal.
Unified Plantation Intelligence
Cross-modal correlation identifies patterns invisible to any single sensor — e.g. acoustic anomalies co-located with NDVI stress zones, or LiDAR canopy gaps aligned with soil moisture deficits.
Harvest Decisions
Ripeness × weather × terrain = optimal harvest window
Health Alerts
Disease, pests, and stress detected before visible damage
Predictive Maintenance
Acoustic anomalies predict equipment failure days in advance
Technical Specifications
PalmSense integrates multiple sensor technologies into a single operational platform — deployable from one estate management app.
Aerial Layer
Drone-based multispectral, thermal, and LiDAR sensors cover 100+ ha per flight with centimetre-level precision.
Ground Layer
LoRaWAN-connected IoT mesh: soil sensors, acoustic monitors, and weather stations reporting continuously from the field.
Robotics Layer
Haptic feedback integration with PalmBot for precision harvesting — touch-sense guided cutting reduces fruit damage and oil loss.