What you'll learn

• Building a field-scale dataset: ingesting drone imagery, satellite data, and IoT sensor streams into a unified visual dataset for comprehensive field analysis
• Curating for accuracy: annotation, validation, and quality control techniques that capture field variability and edge cases traditional scouting techniques miss
• Training & evaluating models: fuse visual, spectral, and environmental features into one pipeline for weed detection, crop health assessment, and zone delineation
• Measuring field impact: align model performance with key metrics like input efficiency, yield variance, and ROI per zone

Who should attend