Data Augmentation for Mask-Based Leaf Segmentation of UAV-Images as a Basis to Extract Leaf-Based Phenotyping Parameters.
Künstliche Intell., December, 2023
SugarViT - Multi-objective Regression of UAV Images with Vision Transformers and Deep Label Distribution Learning Demonstrated on Disease Severity Prediction in Sugar Beet.
CoRR, 2023
Agricultural Plant Cataloging and Establishment of a Data Framework from UAV-based Crop Images by Computer Vision.
CoRR, 2022
Combining expert knowledge and neural networks to model environmental stresses in agriculture.
CoRR, 2021
Automatic UAV-based counting of seedlings in sugar-beet field and extension to maize and strawberry.
Comput. Electron. Agric., 2021
Prediction of the Kiwifruit Decline Syndrome in Diseased Orchards by Remote Sensing.
Remote. Sens., 2020
Making deep neural networks right for the right scientific reasons by interacting with their explanations.
Nat. Mach. Intell., 2020
Right for the Wrong Scientific Reasons: Revising Deep Networks by Interacting with their Explanations.
CoRR, 2020
Statistical shape analysis of tap roots: a methodological case study on laser scanned sugar beets.
BMC Bioinform., 2020
Comparison and Combination of Thermal, Fluorescence, and Hyperspectral Imaging for Monitoring <i>Fusarium</i> Head Blight of Wheat on Spikelet Scale.
Sensors, 2019
Extending Hyperspectral Imaging for Plant Phenotyping to the UV-Range.
Remote. Sens., 2019
In-Field Detection of Yellow Rust in Wheat on the Ground Canopy and UAV Scale.
Remote. Sens., 2019
Infrared Thermography as a Non-Invasive Tool to Explore Differences in the Musculoskeletal System of Children with Hemophilia Compared to an Age-Matched Healthy Group.
Sensors, 2018
Specim IQ: Evaluation of a New, Miniaturized Handheld Hyperspectral Camera and Its Application for Plant Phenotyping and Disease Detection.
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Sensors, 2018
Spatial Referencing of Hyperspectral Images for Tracing of Plant Disease Symptoms.
J. Imaging, 2018
Feeding the World with Big Data: Uncovering Spectral Characteristics and Dynamics of Stressed Plants.
Proceedings of the Computational Sustainability, 2016
Generation and application of hyperspectral 3D plant models: methods and challenges.
Mach. Vis. Appl., 2016
On the benefit of topographic dictionaries for detecting disease symptoms on hyperspectral 3D plant models.
Proceedings of the 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2016
Supplemental Blue LED Lighting Array to Improve the Signal Quality in Hyperspectral Imaging of Plants.
Sensors, 2015
Automated interpretation of 3D laserscanned point clouds for plant organ segmentation.
BMC Bioinform., 2015
Localized multispectral crop imaging sensors: Engineering & validation of a cost effective plant stress and disease sensor.
Proceedings of the IEEE Sensors Applications Symposium, 2015
Low-Cost 3D Systems: Suitable Tools for Plant Phenotyping.
Sensors, 2014
Generation and Application of Hyperspectral 3D Plant Models.
Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014
Surface feature based classification of plant organs from 3D laserscanned point clouds for plant phenotyping.
BMC Bioinform., 2013
Optimalwavelengths for an early identification of Cercospora beticola with Support Vector Machines based on hyperspectral reflection data.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010