Search
IoT sensing for advanced irrigation management: A systematic review of trends, challenges, and future prospects
Sources of information

April 4, 2025 | Sensors |

 

Introduction: The rapid proliferation of Internet of Things (IoT) technologies in agriculture has generated a large and diverse body of research, yet the field lacks a comprehensive synthesis of which hardware platforms, communication protocols, and application domains have driven practical progress. This systematic review, conducted by researchers from the Mediterranean Agronomic Institute in Italy, addresses this gap through bibliometric and systematic analyses that map technology trends, leading contributing countries, and dominant communication technologies in IoT-based irrigation systems.

 

Key findings: Using a Web of Science dataset of 290 papers published between 2014 and 2024, the review shows rapid growth in IoT-based irrigation research, particularly between 2020 and 2022. India, China, the United States, Brazil, Italy, and Saudi Arabia were the leading contributors. The Arduino UNO remains the most widely used microcontroller unit, followed by the ESP8266, Raspberry Pi, ESP32, and ATmega328P. WiFi is the most frequently cited communication technology, while LoRa is emerging rapidly as a practical alternative for rural deployment because of its 10–15 km communication range, low power consumption, and cost-effectiveness. Remote monitoring and control is the dominant application area, followed by water-use optimization and soil moisture monitoring. The review also identifies persistent barriers, including the lack of standardization, compatibility challenges, rural connectivity limitations, and implementation costs, while highlighting the integration of IoT with artificial intelligence (AI), edge computing, and blockchain as a key future direction for enabling predictive and adaptive irrigation decision-making systems.

 

Figure | Main applications of IoT in smart irrigation as reported from 2014 to 2024.

 

 

Viewed Articles
IoT sensing for advanced irrigation management: A systematic review of trends, challenges, and future prospects
April 4, 2025 | Sensors | Introduction: The rapid proliferation of Internet of Things (IoT) technologies in agriculture has generated a large and diverse body of research, yet the field lacks a compre
Read More
Prediction-based breeding: Modern tools to optimize and reshape programs
October 09, 2025 | Crop Science |  Introduction: Traditional plant breeding often prioritizes explanatory models to understand biological mechanisms, which can limit the generalizability of selection
Enhancing climate change resilience in agricultural crops
December 04, 2023 | Current Biology |  Introduction: To ensure food security for a burgeoning global population, a 28% increase in global agricultural production is required over the next decade. Howe
Agentic artificial intelligence-driven digital twin for real-time irrigation control with fuzzy sustainability objectives
April 15, 2026 | IJOCTA | Introduction: Real-time irrigation management faces a fundamental challenge: existing frameworks typically use either static optimization models or reactive threshold-based c
Reinforcement learning-based model predictive control for greenhouse climate control
March, 2025 | Smart Agricultural Technology | Introduction: Model predictive control (MPC) is a promising approach for greenhouse climate management, but its reliance on accurate prediction models mak
An integrated approach of remote sensing and geospatial analysis for modeling and predicting the impacts of climate change on food security
January 19, 2023 | Scientific Reports |  Introduction: Climate change threatens agriculture, infrastructure, and local communities. Monitoring and predicting climate impacts on food security is essent
TOP