A software system that uses edge computing devices to extract features from time-series images of tomato plants, enabling more responsive and translatable fertigation decision support than traditional models. Designed fo...
Machine learning algorithm that automates segmentation and classification of minirhizotron root images, reducing 250 hours of manual annotation to approximately 6 hours. Enables higher-frequency, non-destructive root ima...
This software utilizes active learning and automated image segmentation to classify bulk scrap materials, overcoming data labeling challenges. It provides comprehensive material analysis and can be customized for various...