Here’s a technical overview of Real-Time Grass Height Monitoring via Remote Display for robotic lawn mowers, incorporating relevant data and a structured table:
Real-Time Grass Height Monitoring System for Robotic Lawn Mowers
This system enables continuous tracking and adjustment of grass height during mowing operations, optimizing efficiency and lawn health. Below are key components and methodologies:
1. Core Technologies
Sensors:
LiDAR/Ultrasonic Sensors: Measure grass height with millimeter precision (e.g., 1–10 cm range).
Optical Cameras: Capture RGB/NIR images to assess grass density and health.
Data Transmission:
Wireless (Wi-Fi/Bluetooth) sends real-time data to a remote display or cloud platform.
Algorithm:
Machine learning (e.g., Random Forest, CNN) processes sensor data to classify grass height and adjust mower blade height dynamically.
2. Data Workflow
Measurement: Sensors scan grass at 5–10 Hz frequency.
Processing: Edge computing filters noise and calculates erage height.
Display: Real-time metrics (height, coverage) shown on a dashboard.
3. Performance Metrics
| Parameter | Specification | Source |
|---|---|---|
| Measurement Range | 1–15 cm (adjustable) | |
| Accuracy | ±2 mm (LiDAR); ±5 mm (ultrasonic) | |
| Update Frequency | 5–10 Hz | |
| Power Consumption | <5W (per sensor module) | Estimated |
4. Applications
Adaptive Mowing: Adjusts blade height based on real-time grass growth.
Health Monitoring: Detects uneven growth or disease via spectral analysis.
5. Limitations
Environmental Factors: Rain or dew may temporarily affect optical sensors.
Calibration: Requires periodic validation against manual measurements.
References:
Let me know if you’d like to expand on specific aspects (e.g., sensor types or algorithms).