Rethinking On-Demand Irrigation Systems Using IOT Stand-Alone Technologies

The integration of Internet of Things (IoT) technologies into pressurized irrigation water distribution networks holds significant potential for optimizing water utilization, especially given the escalating concerns about scarcity and increasing demand. Nevertheless, within the irrigation domain, the utilization of specific technologies and management strategies based on IoT technologies is not yet as widespread as their well-established efficacy would suggest. The present work proposes a management strategy based on such technologies to enhance the sustainability of a case study network, using real operational data during the irrigation season.

Authors

Institutions

Publication Details

Published
2024-09-06
DOI
https://doi.org/10.3390/engproc2024069077
Citations
1
Primary Topic
Water Quality Monitoring Technologies
Type
article
Field-Weighted Citation Impact
0.20
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Rethinking On-Demand Irrigation Systems Using IOT Stand-Alone Technologies

Gustavo Marini, S. Mambretti, Alessandro Pagano, Giacomo Ferrarese et al.
1 citations
Water Quality Monitoring Technologies
0.20
article

Rethinking On-Demand Irrigation Systems Using IOT Stand-Alone Technologies

Gustavo Marini, S. Mambretti, Alessandro Pagano, Giacomo Ferrarese, Stefano Malavasi, Nicola Fontana, Anna Ceni, Axel I. Hutomo, Davide Troiani
article en
1 citations

Abstract

The integration of Internet of Things (IoT) technologies into pressurized irrigation water distribution networks holds significant potential for optimizing water utilization, especially given the escalating concerns about scarcity and increasing demand. Nevertheless, within the irrigation domain, the utilization of specific technologies and management strategies based on IoT technologies is not yet as widespread as their well-established efficacy would suggest. The present work proposes a management strategy based on such technologies to enhance the sustainability of a case study network, using real operational data during the irrigation season.

University of Sannio (IT), Water Research Institute (IT), National Research Council (IT), Politecnico di Milano (IT)
Openalex Percentile: Top 46%
Water Quality Monitoring Technologies
0.20
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.

Rethinking On-Demand Irrigation Systems Using IOT Stand-Alone Technologies — Gustavo Marini, S. Mambretti, et al. · (2024) | TGRS Research Map | TGRS