ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Download
Share
Publications Copernicus
Search conference papers
Download
PDF XML
Citation
Share
Articles | Volume X-1/W1-2023
Articles | Volume X-1/W1-2023
https://doi.org/10.5194/isprs-annals-X-1-W1-2023-91-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/isprs-annals-X-1-W1-2023-91-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume X-1/W1-2023
05 Dec 2023
 | 05 Dec 2023

POTENTIAL OF MULTISPECTRAL IMAGES TAKEN BY SENSORS EMBEDDED IN UAVS FOR MONITORING THE COFFEE CROP IRRIGATION

V. S. W. Orlando, G. D. Martins, E. F. Fraga Júnior, A. B. Marra, F. V. Pereira, and M. d. L. B. T. Galo

Related authors

UAV imaging for spectral characterization of Coffee Leaf Miner (Leucoptera coffeella) infestation in the Cerrado Mineiro region
Vinicius Silva Werneck Orlando, Maria de Lourdes Bueno Trindade Galo, George Deroco Martins, Andrea Maria Lingua, and Vanessa Andaló
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-3-2024, 285–291, https://doi.org/10.5194/isprs-annals-X-3-2024-285-2024,https://doi.org/10.5194/isprs-annals-X-3-2024-285-2024, 2024
Evaluation of YOLO Efficiency in Automatic Orange Detection in Multi-Exposure Images
Maurycio R. Oviedo Espinosa, Letícia R. Porto, Vinicius S. W. Orlando, Antonio M. G. Tommaselli, Aluir P. Dal Poz, and Nilton N. Imai
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-3-2024, 303–308, https://doi.org/10.5194/isprs-annals-X-3-2024-303-2024,https://doi.org/10.5194/isprs-annals-X-3-2024-303-2024, 2024
Estimating coffee crop parameters through multispectral imaging and machine learning algorithms
Fernando Vasconcelos Pereira, Vinicius Silva Werneck Orlando, George Deroco Martins, Bruno Sérgio Vieira, Eduardo Soares Nascimento, Aline Barrocá Marra, and Maria de Lourdes Bueno Trindade Galo
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-3-2024, 317–323, https://doi.org/10.5194/isprs-annals-X-3-2024-317-2024,https://doi.org/10.5194/isprs-annals-X-3-2024-317-2024, 2024
BURNT AREAS SEMANTIC SEGMENTATION FROM SENTINEL DATA USING THE U-NET NETWORK TRAINED WITH SEMI-AUTOMATED ANNOTATIONS
A. B. Marra, M. L. B. T. Galo, F. Giulio Tonolo, E. E. Sano, and V. S. W. Orlando
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W2-2023, 1459–1465, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1459-2023,https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1459-2023, 2023