Evidence map›Paper›PMID 40218803›Full record

ReviewSensors (Basel, Switzerland)2025

IoT Sensing for Advanced Irrigation Management: A Systematic Review of Trends, Challenges, and Future Prospects.

Ahmed A Abdelmoneim, Hilda N Kimaita, Christa M Al Kalaany, Bilal Derardja, Giovanna Dragonetti, Roula Khadra

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Review
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Ahmed A AbdelmoneimMediterranean Agronomic Institute CIHEAM Bari, Valenzano, 70010 Bari, Italy.ORCID 0000-0003-1513-2447
Hilda N KimaitaMediterranean Agronomic Institute CIHEAM Bari, Valenzano, 70010 Bari, Italy.
Christa M Al KalaanyMediterranean Agronomic Institute CIHEAM Bari, Valenzano, 70010 Bari, Italy.
Bilal DerardjaMediterranean Agronomic Institute CIHEAM Bari, Valenzano, 70010 Bari, Italy.ORCID 0000-0002-6251-8601
Giovanna DragonettiMediterranean Agronomic Institute CIHEAM Bari, Valenzano, 70010 Bari, Italy.
Roula KhadraMediterranean Agronomic Institute CIHEAM Bari, Valenzano, 70010 Bari, Italy.ORCID 0000-0003-2117-1557

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Efficient water management is crucial for sustainable agriculture, and the integration of Internet of Things (IoT) technologies in irrigation systems offers innovative solutions to optimize resource use. In this systematic review, the current landscape of Internet of Things (IoT) applications in irrigation management was investigated. The study aimed to identify key research trends and technological developments in the field. Using VOSviewer (CWTS, Leiden, The Netherlands) for bibliometric mapping, the influential research clusters were identified. The analysis revealed a significant rise in scholarly interest, with peak activity between 2020 and 2022, and a shift towards interdisciplinary and applied research. Additionally, the content analysis revealed prevalent agricultural applications, frequently employed microcontroller units (MCUs), widely used sensors, and trends in communication technologies such as the increasing adoption of low-power, scalable communication protocols for real-time data acquisition. This study not only offers a comprehensive overview of the current status of IoT integration in smart irrigation but also highlights the technological advancements. Future research directions include integrating IoT with emerging technologies such as artificial intelligence, edge computing, and blockchain to enhance decision-support systems and predictive irrigation strategies. By examining the transformative potential of IoT, this study provides valuable insights for researchers and practitioners seeking to enhance agricultural productivity, optimize resource use, and improve sustainability.

Indexed as

bibliometric analysisdigital agricultureinternet of things (IoT)smart agriculturesoil moisturewireless sensor networks (WSN)

Identifiers

PMID40218803
PMCPMC11991392

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.