Multiscale Multispectral–Hyperspectral Data for Estimating Coffee Yield Using Machine Learning Algorithms

Martins, George Deroco; de Carvalho, Lucas Henrique Vicentini Viana; da Silva, Filipe Vieira; Barbosa, Rayssa Santos; Santos, Maria Cecília Lemes

doi:10.5194/isprs-annals-XI-3-2026-757-2026

Articles | Volume XI-3-2026

https://doi.org/10.5194/isprs-annals-XI-3-2026-757-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/isprs-annals-XI-3-2026-757-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume XI-3-2026

08 Jul 2026

| 08 Jul 2026

Multiscale Multispectral–Hyperspectral Data for Estimating Coffee Yield Using Machine Learning Algorithms

George Deroco Martins, Lucas Henrique Vicentini Viana de Carvalho, Filipe Vieira da Silva, Rayssa Santos Barbosa, and Maria Cecília Lemes Santos

Metrics will be available soon.

Latest update: 08 Jul 2026

The International Society for Photogrammetry and Remote Sensing is a non-governmental organization devoted to the development of international cooperation for the advancement of photogrammetry and remote sensing and their applications. The Society operates without any discrimination on grounds of race, religion, nationality, or political philosophy.

Useful Links

Useful External Links

Our Contact

ISPRS
c/o
Leibniz University Hannover
Institute of Photogrammetry and GeoInformation
Nienburger Str. 1
D-30167 Hannover
GERMANY
Email: isprs-sg@isprs.org