2 papers
cs.AI2026
Task-Conditioned Synthetic Data Generation for Improving Machine Learning Performance in Agricultural Prediction Tasks
Hamid Ebrahimy, Moritz Lucas, Martin Atzmueller
Machine Learning (ML) algorithms have been widely used to estimate agricultural variables across diverse contexts. However, because the quantity and quality of training data strong…
cs.CV2025
Mapping and Classification of Trees Outside Forests using Deep Learning
Moritz Lucas, Hamid Ebrahimy, Viacheslav Barkov +3
Trees Outside Forests (TOF) play an important role in agricultural landscapes by supporting biodiversity, sequestering carbon, and regulating microclimates. Yet, most studies have…