IoT-Based Monitoring and Management System for Effluents Reuse from Table Olive processing facilities in Olive Groves: Toward Circular Water Management

The table olive processing industry generates large volumes of saline effluents, contributing significantly to the water footprint of olive groves. This highlights the potential to reuse effluents for irrigation within a circular economy framework. This study details a framework for operational integration of industry and agriculture, linking the source of effluents with on-farm irrigation management. It focuses on the design, testing, and evaluation of an autonomous system for the classification,storage, and supervised reuse of olive processing effluents in olive groves. Developed as a proof of concept using open-source microcontrollers and low-cost sensors, the system monitors flow and electrical conductivity (EC), allowing for the selective storage of irrigation-suitable fractions (EC<10 dSm-1). On-farm application included prescreening of suitable olive groves and their prioritization, the instrumentation within a selected farm and the automation of irrigation scheduling based on real-time atmosphere, soil and crop status. Results showed that up to 40% of the effluents had EC values suitable for irrigation under controlled application. A spatial prioritization model identified over 80 ha of suitable olive groves within 5 km to the source, characterized by flat terrain and permeable soil for effluent application. A field test demonstrated the system’s capability to automatically and remotely manage irrigation, maintaining favorable soil conditions while mitigating salt accumulation through leaching strategies. This study proposes an adaptable strategy to mitigate industrial environmental impacts while enhancing agricultural productivity. Future research should further evaluate alternative irrigation management and orchard selection criteria, advancing supportive regulatory frameworks and promote stakeholder engagement in implementation. • Wastewater monitorization in olive pickling industry detects a huge variability in quality and quantity of effluents • Real-time wastewater monitoring enables controlled classification and potential reuse in olive groves. • Integrated IoT-based systems support risk assessment for wastewater reuse. • Decision making tools based on digital information and real time data identifies the best possible locations for wastewater reuse and management,

Authors

Institutions

Publication Details

Journal
Water Resources and Industry
Published
2026-03-01
DOI
https://doi.org/10.1016/j.wri.2026.100357
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

IoT-Based Monitoring and Management System for Effluents Reuse from Table Olive processing facilities in Olive Groves: Toward Circular Water Management

Gonzalo A. Martínez, Karl Vanderlinden, Javier Hernán, José Manuel Martínez-García et al.
Water Resources and Industry
Smart Agriculture and AI
article

IoT-Based Monitoring and Management System for Effluents Reuse from Table Olive processing facilities in Olive Groves: Toward Circular Water Management

Gonzalo A. Martínez, Karl Vanderlinden, Javier Hernán, José Manuel Martínez-García, Juan Vicente Giráldez, Ana María Laguna
article en

Abstract

The table olive processing industry generates large volumes of saline effluents, contributing significantly to the water footprint of olive groves. This highlights the potential to reuse effluents for irrigation within a circular economy framework. This study details a framework for operational integration of industry and agriculture, linking the source of effluents with on-farm irrigation management. It focuses on the design, testing, and evaluation of an autonomous system for the classification,storage, and supervised reuse of olive processing effluents in olive groves. Developed as a proof of concept using open-source microcontrollers and low-cost sensors, the system monitors flow and electrical conductivity (EC), allowing for the selective storage of irrigation-suitable fractions (EC<10 dSm-1). On-farm application included prescreening of suitable olive groves and their prioritization, the instrumentation within a selected farm and the automation of irrigation scheduling based on real-time atmosphere, soil and crop status. Results showed that up to 40% of the effluents had EC values suitable for irrigation under controlled application. A spatial prioritization model identified over 80 ha of suitable olive groves within 5 km to the source, characterized by flat terrain and permeable soil for effluent application. A field test demonstrated the system’s capability to automatically and remotely manage irrigation, maintaining favorable soil conditions while mitigating salt accumulation through leaching strategies. This study proposes an adaptable strategy to mitigate industrial environmental impacts while enhancing agricultural productivity. Future research should further evaluate alternative irrigation management and orchard selection criteria, advancing supportive regulatory frameworks and promote stakeholder engagement in implementation. • Wastewater monitorization in olive pickling industry detects a huge variability in quality and quantity of effluents • Real-time wastewater monitoring enables controlled classification and potential reuse in olive groves. • Integrated IoT-based systems support risk assessment for wastewater reuse. • Decision making tools based on digital information and real time data identifies the best possible locations for wastewater reuse and management,

Water Resources and Industry
Andalusian Institute of Agricultural and Fisheries Research and Training (ES), University of Córdoba (ES)
Clean water and sanitation
Openalex Percentile: Top 6%
Smart Agriculture and AI
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.