Hyperspectral Imaging

DeepSpecN combines PROSPECT-PRO simulations with Conv-Transformer models to estimate leaf nitrogen content from hyperspectral reflectance, eliminating the need for field data collection while achieving unprecedented accuracy.

Dr. Anirudh Belwalkar, postdoctoral researcher at the Precision Agriculture Lab, TUM attended the International Geoscience and Remote Sensing Symposium (IGARSS), held in Brisbane, Australia, from August 3, 2025 to August 8, 2025.