How To Use AI Drone Crop Health Scanner
1 Select Crop Type
Choose your crop - Wheat, Corn, Rice, Soybean, Cotton, Potato, Tomato, Grape, or Orchard.
2 Configure Scan Parameters
Set field size, scan altitude, sensor type, and growth stage for accurate analysis.
3 Select Issues to Detect
Choose from nutrient deficiency, pest infestation, disease, water stress, and weed pressure.
4 Start Scan
Click "Start Crop Scan" to generate NDVI health map, detect issues, and get AI recommendations.
5 Review Results
Analyze crop health score, detected issues, and actionable recommendations for treatment.
Pro Tips
- Multispectral sensors provide the most accurate NDVI analysis
- Scan at 60-80m altitude for optimal resolution vs coverage balance
- Early detection of issues can save up to 40% of crop yield
- Regular weekly scans help track crop health trends
Frequently Asked Questions
What is NDVI and why is it important?
NDVI (Normalized Difference Vegetation Index) measures plant health by analyzing how plants reflect light. Healthy plants reflect more near-infrared light, helping detect stress before visible symptoms appear.
What sensor is best for crop health?
Multispectral sensors are best for NDVI analysis. RGB cameras work for visual inspection. Thermal sensors detect water stress. Hyperspectral offers the most detailed analysis but is more expensive.
How often should I scan my fields?
Weekly scans during growing season are recommended. Bi-weekly during early stages, weekly during flowering and maturing stages for optimal pest and disease detection.
What altitude gives best results?
60-80m altitude provides optimal balance between resolution (2-3cm/pixel) and coverage (20-30 hectares per flight). Lower altitudes give better detail but slower coverage.
Can this detect specific nutrient deficiencies?
Yes! Different deficiency patterns appear in NDVI - nitrogen deficiency shows uniform pale color, potassium shows edge burning, phosphorus shows purpling in corn.
How accurate is pest detection?
Visual inspection with RGB cameras detects 85-95% of visible pest damage. Multispectral can detect stress from pest feeding before visible symptoms appear.