Intelligent Irrigation System Reduces Water Losses in Agriculture
A team of researchers from the Faculty of Sciences Dhar El Mahraz has developed an innovative irrigation system that optimizes water management in agriculture using the Internet of Things (IoT), embedded systems, fuzzy logic, and cloud computing. The system, which reduces water losses by adjusting watering periods according to soil temperature and humidity, has shown significant results in maintaining soil humidity close to the target threshold of 62%.
Key Takeaways:
- The intelligent irrigation system integrates IoT devices in the field, a cloud layer using ThingSpeak, and an interactive dashboard for irrigation monitoring and control.
- The system uses fuzzy logic to dynamically adjust irrigation according to environmental conditions, with MATLAB being used to simulate and visualize fuzzy membership functions.
- The system reduces water losses by adjusting watering periods according to soil temperature and humidity, with a cost of just 32 USD.
- The system maintains soil humidity close to the target threshold of 62%, ensuring more precise, weather-responsive irrigation.
- Evaluation over an extended period shows a significant reduction in water wastage thanks to strategic management based on well-defined rules.
- The system improves water efficiency, optimizes yields, and minimizes the risk of water stress, contributing to the resilience of agricultural practices in the face of environmental challenges.
- The system has been tested and validated using real-time soil and climate data.
- The researchers have concluded that the intelligent irrigation system represents a promising solution for sustainable water management in agriculture.
Statistics:
- The system reduces water losses by adjusting watering periods according to soil temperature and humidity.
- The system maintains soil humidity close to the target threshold of 62%.
- The cost of the system is just 32 USD.
- The system improves water efficiency by reducing water wastage thanks to strategic management based on well-defined rules.
Sources:
- Fuzzy logic-based IoT system for optimizing irrigation with cloud computing: Enhancing water sustainability in smart agriculture. Smart Agricultural Technology, 2025,11():100979. (Elsevier)
- Abdennabi Morchid et al. (2025). Fuzzy logic-based IoT system for optimizing irrigation with cloud computing: Enhancing water sustainability in smart agriculture. Smart Agricultural Technology, 2025,11():100979. (DOI: 10.1016/j.atech.2025.100979)
- NewsRx. Researchers from Faculty of Sciences Dhar El Mahraz Describe Findings in Sustainability Research (Fuzzy logic-based IoT system for optimizing irrigation with cloud computing: Enhancing water sustainability in smart agriculture). Ecology, Environment & Conservation. August 15, 2025; p 742.