Inventors: Dr. Sravan Danda, Dr. Sougat Sen

Sensor-based data augmentation enhances machine vision algorithms for agronomic semantic segmentation in large-scale agricultural settings. By integrating multispectral, hyperspectral, LiDAR, and thermal sensor data, algorithms gain comprehensive insights into crop health, terrain, and environmental factors. This fusion enriches the training dataset, improving model accuracy in identifying crop types, growth stages.