In greenhouse conditions, agricultural output must be maximized by precise monitoring and control systems. The approach for real-time greenhouse management described in this paper uses the synergistic benefits of augmented reality (AR) and the Internet of Things (IoT). We built a system that combines IoT-enabled sensors with AR visualization capabilities to improve environmental monitoring accuracy and give operators clear, real-time insights. With the help of a network of IoT sensors, our system continuously gathers vital information on temperature, humidity, soil moisture, and CO2 levels. This data is processed and seamlessly visualized through AR interfaces, allowing operators to interact with real-time overlays within the greenhouse environment. AR reduces the cognitive load associated with traditional monitoring systems, offering a more intuitive control experience. Significant improvements in response times and decision accuracy were seen during field testing in a prototype greenhouse, which improved resource management and raised output. This study emphasizes how IoT and AR technology may be essential for developing smart agriculture and encouraging environmentally friendly greenhouse management techniques. According to our research, combining these technologies can offer businesses a competitive edge in the quickly changing agriculture industry.

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Integrating Augmented Reality and IoT Sensors for Advanced Real-Time Greenhouse Control

  • Hicham Slimani,
  • Jamal El Mhamdi,
  • Abdelilah Jilbab

摘要

In greenhouse conditions, agricultural output must be maximized by precise monitoring and control systems. The approach for real-time greenhouse management described in this paper uses the synergistic benefits of augmented reality (AR) and the Internet of Things (IoT). We built a system that combines IoT-enabled sensors with AR visualization capabilities to improve environmental monitoring accuracy and give operators clear, real-time insights. With the help of a network of IoT sensors, our system continuously gathers vital information on temperature, humidity, soil moisture, and CO2 levels. This data is processed and seamlessly visualized through AR interfaces, allowing operators to interact with real-time overlays within the greenhouse environment. AR reduces the cognitive load associated with traditional monitoring systems, offering a more intuitive control experience. Significant improvements in response times and decision accuracy were seen during field testing in a prototype greenhouse, which improved resource management and raised output. This study emphasizes how IoT and AR technology may be essential for developing smart agriculture and encouraging environmentally friendly greenhouse management techniques. According to our research, combining these technologies can offer businesses a competitive edge in the quickly changing agriculture industry.