Ribana Roscher

A multimodal deep learning framework improves yield forecasting accuracy for sweet peppers by over 30%, setting a new standard for precision agriculture.

Real-world datasets reveal that tracking tomato ripeness can significantly enhance agricultural automation and phenotyping techniques.

Data-centric methods can effectively identify and mitigate label noise in remote sensing data, but the best approach depends heavily on the specific noise characteristics and task objectives.