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Green technology

Artificial Intelligence-Powered Irrigation System Reduces Water Consumption and Enhances Plant Monitoring

Strategic Insights

— 1 min read

Researchers from Universidad Cesar Vallejo have developed an intelligent irrigation system that leverages the Internet of Things (IoT) and machine learning to optimize water use, improve plant monitoring, and enhance security. According to the study, this innovative approach surpasses traditional systems and represents a scalable and sustainable solution for innovative irrigation management.

Key Takeaways:

  • The research aims to develop an intelligent irrigation system using IoT and machine learning to optimize water use and plant monitoring, with a focus on environmental sustainability and water conservation.
  • The system consists of two ESP32 microcontrollers and an ESP32-CAM, which manage humidity, temperature, light sensors, and irrigation automation using a solenoid valve.
  • A modified Yolov3-tiny model detects signs of dehydration and chlorosis in plants with 93.86% accuracy.
  • Facial recognition restricts access to authorized users, and data is processed through IoT platforms such as Adafruit IO and Telegram.
  • The system allows for remote monitoring and intrusion detection through integration with YouTube Live and Dropbox.
  • Experimental results indicate a 43.7% reduction in water consumption.
  • The innovative approach surpasses traditional systems and represents a scalable and sustainable solution for innovative irrigation management.
  • The system utilizes solar power, ensuring continuous monitoring without the need for external energy sources.

Statistics:

  • 43.7% reduction in water consumption.
  • 93.86% accuracy in detecting signs of dehydration and chlorosis in plants.
  • 2 ESP32 microcontrollers and 1 ESP32-CAM deployed in the system.
  • 1 solenoid valve used for irrigation automation.

Sources:

  • Smart Irrigation System with IoT, Machine Learning, and Solar Power for Efficient Plant Care. Emerging Science Journal, 2025,9(3):1346-1371.
  • Emerging Science Journal (http://ijournalse.org).
  • NewsRx. Research Data from Universidad Cesar Vallejo Update Understanding of Machine Learning (Smart Irrigation System with IoT, Machine Learning, and Solar Power for Efficient Plant Care). Energy Weekly News. July 18, 2025; p 357.

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