DETECTION OF DISEASE SYMPTOMS ON HYPERSPECTRAL 3D PLANT MODELS

10 citations as recorded by crossref.

1. Deploying Fourier Coefficients to Unravel Soybean Canopy Diversity T. Jubery et al.
2. Hyperspectral imaging for high-throughput vitality monitoring in ornamental plant production M. Ruett et al.
3. Assessing wheat responses to soil acidification and liming using hyperspectral imaging R. Hume et al.
4. Spectroscopy Imaging Techniques as In Vivo Analytical Tools to Detect Plant Traits R. Hernanda et al.
5. Plant disease detection by hyperspectral imaging: from the lab to the field A. Mahlein et al.
6. Proximal Hyperspectral Imaging Detects Diurnal and Drought-Induced Changes in Maize Physiology S. Mertens et al.
7. Combined Use of 3D and HSI for the Classification of Printed Circuit Board Components S. Polat et al.
8. Detection of a vascular wilt disease in potato (‘Blackleg’) based on UAV hyperspectral imagery: Can structural features from LiDAR or SfM improve plant-wise classification accuracy? M. Franceschini et al.
9. First Form, Then Function: 3D Reconstruction of Cucumber Plants (Cucumis sativus L.) Allows Early Detection of Stress Effects through Leaf Dimensions D. Moualeu-Ngangué et al.
10. Soybean Canopy Stress Classification Using 3D Point Cloud Data T. Young et al.