Publications – Machine Learning in Agriculture

LC-SLab—An object-based deep learning framework for large-scale land cover classification from satellite imagery and sparse in-situ labels

J Leonhardt, J Gall, R Roscher International Journal of Applied Earth Observation and Geoinformation 152 …, 2026

Forecasting the Number of Harvest-ready Fruits of Sweet Peppers Using Multimodal Time-Series Data

E Pallotta, M Farag, E Guclu, C McCool, R Roscher, J Gall arXiv preprint arXiv:2607.19975, 2026

PanX. 4: A Gyrocopter-Borne Six-Band VNIR Multicamera System for Sentinel-2-Aligned Multitemporal Vegetation Monitoring

A Jenal, F Kröber, C Frank, L Krisztian, M Metz, R Roscher, J Bongartz The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2026

Still image and spatial-temporal tomato data enabling detection, segmentation, tracking, and video-instance segmentation using strong and weak labels

M Halstead, E Guclu, M Farag, E Pallotta, C Hund, R Roscher, ... arXiv preprint arXiv:2607.14934, 2026

A Decade of Deep Learning in Remote Sensing: A Systematic Review of Reviews

A Safonova, R Hänsch, R Roscher, G Camara, B Demir, J Serra-Sagristà, ... IEEE Access, 2026

An assessment of data-centric methods for label noise identification in remote sensing data sets

F Kröber, G Hoxha, R Roscher arXiv preprint arXiv:2603.16835, 2026

Core-set selection for data-efficient land cover segmentation

K Nogueira, A Zaytar, W Ma, R Roscher, R Hänsch, C Robinson, A Ortiz, ... IEEE Access, 2026

How to enrich training data for machine learning-based landslide hazard prediction with spatio-temporal precipitation information?

AK Edrich, A Yildiz, R Roscher, J Kowalski Georisk: Assessment and Management of Risk for Engineered Systems and …, 2026

Self-Supervised and Unsupervised Multispectral Anomaly Detection for Unknown Substance and Surface Defect Identification

C Beyaz, M Farag, P Schütt, T Hecking, J Grzesiak, C Geiß, R Roscher Northern Lights Deep Learning Conference 2026, 2026

SimGroupAttn: Similarity-Guided Group Attention for Vision Transformer to Incorporate Population Information in Plant Disease Detection

W Wu, R Roscher, N Tötsch Northern Lights Deep Learning Conference 2026, 2026

A Computer Vision Dataset for Pollinator Detection under Real Field Conditions

YL Chong, P Nachtweide, J Bauer, A Hamm, J Kierdorf, L Drees, ... bioRxiv, 2025.10. 27.682286, 2025

Enhancing decision support in crop production: Analyzing conformal prediction for uncertainty quantification

M Farag, A Emam, J Leonhardt, R Roscher Computers and Electronics in Agriculture 237, 110559, 2025

NaT-ReX: Naturalness Assessment with Transformer-Based Reliable Explainability

A Emam, M Farag, M Rußwurm, R Roscher DAGM German Conference on Pattern Recognition, 571-585, 2025

Confidence-Filtered Relevance (CFR): An Interpretable and Uncertainty-Aware Machine Learning Framework for Naturalness Assessment in Satellite Imagery

A Emam, R Roscher Joint European Conference on Machine Learning and Knowledge Discovery in …, 2025

Mapping Plant Functional Traits with Convolutional Neural Networks Trained on Spectral Images of Discrete Anisotropic Radiative Transfer Model

Z Malenovský, L Casuccio, B Hoodt, O Regaieg, TQ Nguyen, R Roscher, ... IGARSS 2025-2025 IEEE International Geoscience and Remote Sensing Symposium …, 2025