Automatic ordinal classification of olive plantations using deep learning and LiDAR data fusion
A. Morales-Martín , F. Mesas-Carrascosa, J. Muñoz-Lorite, S. Cantón-Martínez, F. Pérez-Porras, V. Vargas, P. Gutiérrez
Precision agriculture'25, pp. 538-545, 2025Abstract
The growing demand for olive oil has driven the intensification of olive plantations in the Mediterranean Basin. In this context, monitoring and classifying parcels is essential to evaluate environmental and socioeconomic impacts and use of resources and agricultural inputs. This study introduces an innovative ordinal classification model to distinguish four olive plantation systems: traditional, low-density intensive, high-density intensive, and super intensive. Employing this methodology with public LiDAR-PNOA data, the model achieved 85% accuracy, demonstrating its robustness and efficacy. These findings enrich the SIGPAC database, supporting the Spanish Government in developing decision-making models for future agricultural planning.
Cite this publication
BibTex
@inproceedings{morales-martin2025automatic,
author = {Alejandro Morales-Martín and Francisco Javier Mesas-Carrascosa and J Muñoz-Lorite and Susana Cantón-Martínez and Fernando Pérez-Porras and Víctor Manuel Vargas and Pedro Antonio Gutiérrez},
title = {Automatic ordinal classification of olive plantations using deep learning and LiDAR data fusion},
booktitle = {Precision agriculture'25},
year = {2025},
pages = {538--545},
doi = {10.1163/9789004725232_070}
}
APA
Morales-Martín, A., Mesas-Carrascosa, F., Muñoz-Lorite, J., Cantón-Martínez, S., Pérez-Porras, F., Vargas, V., Gutiérrez, P. (2025). Automatic ordinal classification of olive plantations using deep learning and LiDAR data fusion. In Precision agriculture'25 (pp. 538-545).
CV
A. Morales-Martín (CA), F.J. Mesas-Carrascosa, J. Muñoz-Lorite, S. Cantón-Martínez, F. Pérez-Porras, V.M. Vargas, P.A. Gutiérrez, (6/7) "Automatic ordinal classification of olive plantations using deep learning and LiDAR data fusion". Precision agriculture'25, pp. 538-545, 2025.
RIS
TY - CONF T1 - Automatic ordinal classification of olive plantations using deep learning and LiDAR data fusion T2 - Precision agriculture'25 AU - Morales-Martín, Alejandro AU - Mesas-Carrascosa, Francisco Javier AU - Muñoz-Lorite, J AU - Cantón-Martínez, Susana AU - Pérez-Porras, Fernando AU - Vargas, Víctor Manuel AU - Gutiérrez, Pedro Antonio JO - Precision agriculture'25 JA - Precision agriculture'25 Y1 - 2025 PY - 2025 SP - 538 EP - 545 DO - 10.1163/9789004725232_070 ER -