Estimating coffee crop parameters through multispectral imaging and machine learning algorithms

Pereira, Fernando Vasconcelos; Orlando, Vinicius Silva Werneck; Martins, George Deroco; Vieira, Bruno Sérgio; Nascimento, Eduardo Soares; Marra, Aline Barrocá; Galo, Maria de Lourdes Bueno Trindade

doi:https://doi.org/10.5194/isprs-annals-X-3-2024-317-2024

Articles | Volume X-3-2024

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Articles | Volume X-3-2024

https://doi.org/10.5194/isprs-annals-X-3-2024-317-2024

Articles | Volume X-3-2024

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04 Nov 2024

| 04 Nov 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

Fernando Vasconcelos Pereira

São Paulo State University (UNESP), Presidente Prudente, São Paulo, Brazil

Vinicius Silva Werneck Orlando

https://orcid.org/0000-0003-0847-9864

São Paulo State University (UNESP), Presidente Prudente, São Paulo, Brazil

George Deroco Martins

Federal University of Uberlândia (UFU), Uberlândia, Minas Gerais, Brazil

Bruno Sérgio Vieira

Federal University of Uberlândia (UFU), Uberlândia, Minas Gerais, Brazil

Eduardo Soares Nascimento

https://orcid.org/0000-0001-7053-1403

São Paulo State University (UNESP), Presidente Prudente, São Paulo, Brazil

Aline Barrocá Marra

https://orcid.org/0000-0001-7311-7312

São Paulo State University (UNESP), Presidente Prudente, São Paulo, Brazil

Maria de Lourdes Bueno Trindade Galo

São Paulo State University (UNESP), Presidente Prudente, São Paulo, Brazil

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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

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1-W1-2023, 91–96, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-91-2023,https://doi.org/10.5194/isprs-annals-X-1-W1-2023-91-2023, 2023

Comparing inpainting techniques for urban object restoration from orbital images

Eduardo Soares Nascimento, Allan Alves Lopes Ferreira, Guilherme Pina Cardim, Pedro Pina, and Erivaldo Antonio da Silva

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-3-2024, 245–251, https://doi.org/10.5194/isprs-annals-X-3-2024-245-2024,https://doi.org/10.5194/isprs-annals-X-3-2024-245-2024, 2024

Assessing Land Use and Cover Changes arising from the 2022 water crisis in Southeast China: A comparative analysis of Remote Sensing Imagery classifications and Machine Learning algorithms

Eduardo Soares Nascimento, Fernanda Sayuri Yoshino Watanabe, Maria de Lourdes Bueno Trindade Galo, and Erivaldo Antonio da Silva

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-3-2024, 253–260, https://doi.org/10.5194/isprs-annals-X-3-2024-253-2024,https://doi.org/10.5194/isprs-annals-X-3-2024-253-2024, 2024

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

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

ASSESSING THE EFFECTIVENESS OF INPAINTING TECHNIQUES FOR ENHANCING FEATURE EXTRACTION QUALITY IN REMOTE SENSING IMAGERY

C. F. M. Fontoura Júnior, G. P. Cardim, E. S. Nascimento, M. Colnago, W. C. d. O. Casaca, and E. A. da Silva

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1-W1-2023, 65–72, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-65-2023,https://doi.org/10.5194/isprs-annals-X-1-W1-2023-65-2023, 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

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1-W1-2023, 91–96, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-91-2023,https://doi.org/10.5194/isprs-annals-X-1-W1-2023-91-2023, 2023

CARTOGRAPHIC FEATURES EXTRACTION METHODOLOGY IN REMOTE SENSING IMAGES AIMING AT THE CARTOGRAPHIC UPDATE OF ALLOTMENTS

E. S. Nascimento, A. A. L. Ferreira, T. G. Godoy, C. F. M. Fontoura Júnior, G. P. Cardim, P. M. B. D. Pina, and E. A. da Silva

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1-W1-2023, 851–856, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-851-2023,https://doi.org/10.5194/isprs-annals-X-1-W1-2023-851-2023, 2023

EVALUATION OF SAR TO OPTICAL IMAGE TRANSLATION USING CONDITIONAL GENERATIVE ADVERSARIAL NETWORK FOR CLOUD REMOVAL IN A CROP DATASET

L. E. Christovam, M. H. Shimabukuro, M. L. B. T. Galo, and E. Honkavaara

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2021, 823–828, https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-823-2021,https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-823-2021, 2021

LAND USE AND LAND COVER CLASSIFICATION USING HYPERSPECTRAL IMAGERY: EVALUATING THE PERFORMANCE OF SPECTRAL ANGLE MAPPER, SUPPORT VECTOR MACHINE AND RANDOM FOREST

L. E. Christovam, G. G. Pessoa, M. H. Shimabukuro, and M. L. B. T. Galo

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 1841–1847, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1841-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W13-1841-2019, 2019

Estimating coffee crop parameters through multispectral imaging and machine learning algorithms

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