300 results on '"Mahlein, Anne-Katrin"'
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2. SugarViT -- Multi-objective Regression of UAV Images with Vision Transformers and Deep Label Distribution Learning Demonstrated on Disease Severity Prediction in Sugar Beet
3. Data Augmentation for Mask-Based Leaf Segmentation of UAV-Images as a Basis to Extract Leaf-Based Phenotyping Parameters
4. Agricultural Plant Cataloging and Establishment of a Data Framework from UAV-based Crop Images by Computer Vision
5. Combining expert knowledge and neural networks to model environmental stresses in agriculture
6. Workflow for phenotyping sugar beet roots by automated evaluation of cell characteristics and tissue arrangement using digital image processing
7. Elucidation of turnip yellows virus (TuYV) spectral reflectance pattern in Nicotiana benthamiana by non-imaging sensor technology
8. Making deep neural networks right for the right scientific reasons by interacting with their explanations
9. From Detection to Protection: The Role of Optical Sensors, Robots, and Artificial Intelligence in Modern Plant Disease Management
10. Evaluation of the benefits of combined reflection and transmission hyperspectral imaging data through disease detection and quantification in plant–pathogen interactions
11. A special issue on phytopathometry — visual assessment, remote sensing, and artificial intelligence in the twenty-first century
12. A phytopathometry glossary for the twenty-first century: towards consistency and precision in intra- and inter-disciplinary dialogues
13. Screening of sugar beet pre-breeding populations and breeding lines for resistance to Ditylenchus dipsaci penetration and reproduction
14. Automatic UAV-based counting of seedlings in sugar-beet field and extension to maize and strawberry
15. Hyperspectral imaging of symptoms induced by Rhizoctonia solani in sugar beet : comparison of input data and different machine learning algorithms
16. Virulence and pathogenicity of four Ditylenchus dipsaci populations on sugar beet
17. Emerging technologies for integrated nematode management: remote sensing or proximal sensing as a potential tool to detect and identify nematode infestation.
18. Special Issue: Digital Plant Pathology for Precision Agriculture
19. Automatic scoring of Rhizoctonia crown and root rot affected sugar beet fields from orthorectified UAV images using Machine Learning
20. Impact of compatible and incompatible barley– Blumeria graminis f.sp. hordei interactions on chlorophyll fluorescence parameters
21. Benefits of hyperspectral imaging for plant disease detection and plant protection : a technical perspective
22. Research priorities to leverage smart digital technologies for sustainable crop production
23. Chapter 6 - Plant disease quantification
24. Integrated Nematode Management in a World in Transition: Constraints, Policy, Processes, and Technologies for the Future
25. Neue Ansätze zur frühzeitigen Erkennung und Lokalisierung von Zuckerrübenkrankheiten
26. Statistical shape analysis of tap roots: a methodological case study on laser scanned sugar beets
27. From visual estimates to fully automated sensor-based measurements of plant disease severity: status and challenges for improving accuracy
28. Generation and Application of Hyperspectral 3D Plant Models
29. Fusarium Head Blight on Wheat: Biology, Modern Detection and Diagnosis and Integrated Disease Management
30. Sugarvit - Multi-Objective Regression of Uav Images with Vision Transformers and Deep Label Distribution Learning Demonstrated on Disease Severity Prediction in Sugar Beet
31. Using spectral information in agriculture and plant science
32. Disease Incidence and Severity of Cercospora Leaf Spot in Sugar Beet Assessed by Multispectral Unmanned Aerial Images and Machine Learning
33. Hyperspectral Imaging in the UV Range Allows for Differentiation of Sugar Beet Diseases Based on Changes in Secondary Plant Metabolites
34. Proximal Sensing of Plant Diseases
35. Calibration of hyperspectral close-range pushbroom cameras for plant phenotyping
36. Using UAV-Imagery for Leaf Segmentation in Diseased Plants via Mask-Based Data Augmentation and Extension of Leaf-based Phenotyping Parameters
37. Elucidation of turnip yellows virus (TuYV) spectral reflectance pattern in Nicotiana benthamiana by non-imaging sensor technology
38. Benefits of hyperspectral imaging for plant disease detection and plant protection: a technical perspective
39. Workflow for Phenotyping Sugar Beet Roots by Automated Evaluation of Cell Characteristics and Tissue Arrangement Using Digital Image Processing
40. Quantitative assessment of disease severity and rating of barley cultivars based on hyperspectral imaging in a non-invasive, automated phenotyping platform
41. Generation and application of hyperspectral 3D plant models: methods and challenges
42. A review of advanced machine learning methods for the detection of biotic stress in precision crop protection
43. Airborne hyperspectral imaging of spatial soil organic carbon heterogeneity at the field-scale
44. Sensing the occurrence and dynamics of Cercospora leaf spot disease using UAV-supported image data and deep learning
45. Agricultural plant cataloging and establishment of a data framework from UAV-based crop images by computer vision
46. Generation and Application of Hyperspectral 3D Plant Models
47. A Hyperspectral Library of Foliar Diseases of Wheat
48. Is there a risk to honeybees from use of thiamethoxam as a sugar beet seed treatment?
49. Spectral signatures in the UV range can be combined with secondary plant metabolites by deep learning to characterize barley–powdery mildew interaction
50. A phytopathometry glossary for the twenty-first century: towards consistency and precision in intra- and inter-disciplinary dialogues
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