11–12 Jul 2024
UniPA SAAF
Europe/Rome timezone
Innovations For Sustainable Crop Production In The Mediterranean Region

RIUBSAL: opportunities for expanding the use of reclaimed water for olive tree irrigation

Not scheduled
20m
Aula Magna "G.P. Ballatore" (UniPA SAAF)

Aula Magna "G.P. Ballatore"

UniPA SAAF

Short Oral Presentation Topic 5. Innovative approaches for agricultural water management in a climate change Sessione 5

Speaker

Francesco Abbatantuono (Department of Soil, Plant and Food Science, University of Bari Aldo Moro)

Description

Keywords: decision support systems, remote sensing, water management, olive

Abstract
Water scarcity, combined with the increased food demand, requires a more efficient use of resources as well as recourse to unconventional sources [1]. The main goal of the RIUBSAL project is to develop innovative technologies for monitoring and reusing urban wastewater, evaluating their sustainability, efficiency, and nutrient recovery capacity. The study was conducted in an olive orchard in Gallipoli (Olea europaea L. cv. ‘Leccino’) involving two field treatments: 1) irrigation with treated municipal wastewater, and the use of 'RIUBSAL' Decision Support System for smart fertigation and nutrients recovery; 2) irrigation with treated municipal wastewater and conventional fertigation. This system monitors various water quality parameters continuously (NH4+, NO3-, K, P2O5 concentration, water EC, pH and temperature). RIUBSAL integrates data from soil moisture, temperature, and EC field probes, facilitating irrigation and fertigation management. From May 2021, monthly surveys of physiological parameters (stem water potential, gas exchange, leaf chlorophyll content, Normalized Difference Vegetation Index, and Photochemical Reflectance Index) were conducted. The absence of statistically significant differences in both yield and measured parameters shows that the smart nutrient reduction in the RIUBSAL model (-17% for N and -33% for K) did not cause alterations in the physiological state. Furthermore, a predictive model using Random Forest has been developed to estimate the Chlorophyll Content Index (CCI). Using 8-band multispectral images from PlanetScope, with a spatial resolution of 3 meters, the model achieved an R² of 0.85 during training and 0.65 during testing. According to bibliography, these results demonstrate that applying multispectral bands and indices may provide a faster, cheaper, and simpler alternative to traditional field measurement methods [2].
In conclusion, RIUBSAL project aims to reduce pressure on conventional water use and ensure sustainable nutrient management. Reusing reclaimed water in agriculture decreases marine discharges and groundwater extractions, reducing seawater infiltration and energy costs. Efficient nutrient management prevents eutrophication and lowers the environmental impact of fertilizer production. 'RIUBSAL' offers a data-driven approach for efficient, sustainable orchard management.

References
[1] Pedrero, F., Grattan, S. R., Ben-Gal, A., & Vivaldi, G. A. (2020). Opportunities for expanding the use of
wastewaters for irrigation of olives. Agricultural Water Management, 241, 106333.
https://doi.org/10.1016/j.agwat.2020.106333
[2] Garofalo, S. P., Giannico, V., Costanza, L., Alhajj Ali, S., Camposeo, S., Lopriore, G., ... & Vivaldi, G. A.
(2023). Prediction of stem water potential in olive orchards using high-resolution planet satellite images and
machine learning techniques. Agronomy, 14(1), 1. https://doi.org/10.3390/agronomy14010001

Primary authors

Francesco Abbatantuono (Department of Soil, Plant and Food Science, University of Bari Aldo Moro) Dr Anas Tallou (Department of Soil, Plant and Food Science, University of Bari Aldo Moro) Dr Giuseppe Lopriore (Department of Soil, Plant and Food Science, University of Bari Aldo Moro) Prof. Salvatore Camposeo (Department of Soil, Plant and Food Science, University of Bari Aldo Moro) Prof. Gaetano Alessandro Vivaldi (Department of Soil, Plant and Food Science, University of Bari Aldo Moro)

Presentation materials