Mobile robotics and hyperspectral analysis for non-invasive monitoring in the ATTENTIA project
DOI:
https://doi.org/10.17979/ja-cea.2026.47.13769Keywords:
Mobile Robotics, Hyperspectral Imaging, Sensor Fusion, Citrus MonitoringAbstract
This article presents some of the work developed by the University of Huelva within the framework of the ATTENTIA research project, a cross-border cooperation initiative supported by the Interreg POCTEP 2021–2027 program, aimed at promoting more sustainable citrus farming through the application of Artificial Intelligence and Robotics techniques. The article addresses various technological developments focused on advanced crop monitoring. The proposed system integrates mobile robotics with data acquisition from a 3D-LiDAR sensor and an RGB-D camera, as well as the use of a hyperspectral camera. Throughout the document, precise positioning techniques and sensor fusion methods are described, along with the application of intelligent image processing techniques for hyperspectral data. These approaches enable a non-invasive assessment of the nutritional status of citrus trees, contributing to the development of precision agriculture strategies.
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Copyright (c) 2026 Sara Rua-Tirado, Fernando Gómez-Bravo, Antonio Peregrín-Rubio, Javier Martín-Moreno, Antonio Domínguez-Moreno, Eduardo Moreno-Cuesta, Manuel Jesús Díaz-Márquez, Daniel Camacho-Calero
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
