Related Experiment Video
Updated: Jun 28, 2025

Continuous Instream Monitoring of Nutrients and Sediment in Agricultural Watersheds
Published on: September 26, 2017
Irrigation intelligence-enabling a cloud-based Internet of Things approach for enhanced water management in
Yousif Al Mashhadany1, Hamid R Alsanad2, Mohanad A Al-Askari3
1Department of Electrical Engineering, College of Engineering, University of Anbar, Anbar, Iraq. yousif.mohammed@uoanbar.edu.iq.
Abstract:
Advanced sensor technology, especially those that incorporate artificial intelligence (AI), has been recognized as increasingly important in various contemporary applications, including navigation, automation, water under imaging, environmental monitoring, and robotics. Data-driven decision-making and higher efficiency have enabled more excellent infrastructure thanks to integrating AI with sensors. The agricultural sector is one such area that has seen significant promise from this technology using the Internet of Things (IoT) capabilities. This paper describes an intelligent system for monitoring and analyzing agricultural environmental conditions, including weather, soil, and crop health, that uses internet-connected sensors and equipment. This work makes two significant contributions. It first makes it possible to use sensors linked to the IoT to accurately monitor the environment remotely. Gathering and analyzing data over time may give us valuable insights into daily fluctuations and long-term patterns. The second benefit of AI integration is the remote control; it provides for essential activities like irrigation, pest management, and disease detection. The technology can optimize water usage by tracking plant development and health and adjusting watering schedules accordingly. Intelligent Control Systems (Matlab/Simulink Ver. 2022b) use a hybrid controller that combines fuzzy logic with standard PID control to get high-efficiency performance from water pumps. In addition to monitoring crops, smart cameras allow farmers to make real-time adjustments based on soil moisture and plant needs. Potentially revolutionizing contemporary agriculture, this revolutionary approach might boost production, sustainability, and efficiency.
More Related Videos
Related Concept Videos
Responses to Drought and Flooding
Adaptations that Reduce Water Loss
Key Elements for Plant Nutrition
Water and Mineral Acquisition
The Water Cycle
Applications of GIS: Disaster Management and Emergency Response

