Optimizing water demand in citrus orchards: a novel model using evolutionary algorithms on Sentinel-1 time series data

Cabello-Franco, E-J, Antón, D, Ramírez-Juidias, E and Perea-Torres, F, 2025. Optimizing water demand in citrus orchards: a novel model using evolutionary algorithms on Sentinel-1 time series data. Cogent Food and Agriculture, 11 (1): 2544960. ISSN 2331-1932

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Abstract

Citrus fruits are crucial globally, impacting economies and livelihoods. However, climate change is affecting water availability and usage, posing challenges for managing water in citrus crops. This paper introduces CARP-flux, a new model designed to assess water needs in citrus orchards, specifically addressing the limitations of traditional methods under changing climates. The study was conducted in El Hundido, an irrigation village located in the Vega del Guadalquivir Valley near Cantillana, Seville (Spain), acknowledged as a significant citrus trade area at both the European and national levels. To adjust the model to contemporary climate conditions, time-series data from the Sentinel-1 Interferometric Wide (IW) satellite (VV and VH polarizations) from 2021 and 2022 were employed. Employing genetic algorithms and the Weibull distribution, the study incorporated 3D radiation models from backscatter data, a spatial interpretation of water and radiation dynamics, which, in turn, validated CARP-flux’s performance. This model proved effective in identifying land-use changes and evaluating radiation intensity, which are critical factors for understanding crop water needs in climate change scenarios. CARP-flux offers a precise alternative to the conventional Hargreaves technique for citrus groves, which underestimates water requirements in irrigated and humid regions with ample soil moisture, such as the Vega del Guadalquivir.

Item Type:	Journal article
Publication Title:	Cogent Food and Agriculture
Creators:	Cabello-Franco, E.-J., Antón, D., Ramírez-Juidias, E. and Perea-Torres, F.
Publisher:	Taylor & Francis
Date:	2025
Volume:	11
Number:	1
ISSN:	2331-1932
Identifiers:	Number Type 10.1080/23311932.2025.2544960 DOI 2490720 Other
Rights:	© 2025 the author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.
Divisions:	Schools > School of Architecture, Design and the Built Environment
Record created by:	Jonathan Gallacher
Date Added:	02 Sep 2025 06:11
Last Modified:	02 Sep 2025 06:11
URI:	https://irep.ntu.ac.uk/id/eprint/54270

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