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
Enviromic assembly increases accuracy and reduces costs of the genomic prediction for yield plasticity in maize
March, 2024 | Frontiers in Plant Science |  Introduction: Developing climate-smart agriculture requires cost-effective methods to characterize crop growing conditions. A research team from the America
Climate change impacts on crop breeding: Targeting interacting biotic and abiotic stresses for wheat improvement
July 06, 2023 | The Plant Genome |  Introduction: Researchers from CIMMYT (Mexico) and Mamoré Research and Innovation (UK) address a critical gap in wheat breeding research: the limited consideration
Yield prediction through UAV-based multispectral imaging and deep learning in rice breeding trials
February, 2025 | Agricultural Systems |  Introduction: Accurate and timely yield prediction is critical for breeding trials, as it enables early elimination of poor-performing varieties and accelerate
Enhancing greenhouse efficiency: Integrating IoT and reinforcement learning for optimized climate control
December 19, 2024 | Sensors | Introduction: Automated greenhouse systems typically depend on fixed set-point controls that require skilled technicians for configuration and maintenance, limiting scala
Adapting crop production to climate change and air pollution at different scales
October 16, 2023 | Nature Food |  Introduction: Air pollution and climate change are interconnected challenges that impact field crop production and agroecosystem health. Adapting crop production to t
TOP