Deep learning models for NDVI analysis and automated pest/disease detection using multispectral aerial imagery.
Key Topics
- 1Multispectral sensor calibration and data acquisition
- 2Deep learning architecture for crop classification
- 3Training methodology and dataset composition
- 4Validation results across 10 crop types
- 5Integration with precision spraying workflow