Paper
6 May 2022 Research on intelligent garden irrigation technology based on LORA infinite sensor network
Ziqiong Ren, Bingjie Yuan, Yeyong Guo, Wanqi Yang, Jie Liu, Haoze Yu
Author Affiliations +
Proceedings Volume 12176, International Conference on Algorithms, Microchips and Network Applications; 121761S (2022) https://doi.org/10.1117/12.2636495
Event: International Conference on Algorithms, Microchips, and Network Applications 2022, 2022, Zhuhai, China
Abstract
This paper focuses on integrating sensor network into traditional garden irrigation. Through different terminal sensors, soil temperature and humidity, trace elements, PH value and other parameters through the Internet of Things technology to achieve reliable information transmission, through the regional controller using LORA protocol, wireless unidirectional or bidirectional 485 communication, to achieve intelligent control.The resolution of soil temperature is 0.1℃and the accuracy is 0.5℃.The water resolution is up to 0.1%, the accuracy depends on the water content, but not more than 3%, high measurement accuracy, fast response. Sensor to obtain soil moisture, when the occurrence of diseases and insect pests, the system will feature extraction of the picture, identify the disease and insect information in the picture, in order to help users to solve problems. Through the complementation of APP, PC and terminal sensor network irrigation equipment, integrated services are created to realize the intelligent system management of sprinkler irrigation equipment. The system has been proved to have real time, practicability, memory and reliability.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ziqiong Ren, Bingjie Yuan, Yeyong Guo, Wanqi Yang, Jie Liu, and Haoze Yu "Research on intelligent garden irrigation technology based on LORA infinite sensor network", Proc. SPIE 12176, International Conference on Algorithms, Microchips and Network Applications, 121761S (6 May 2022); https://doi.org/10.1117/12.2636495
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KEYWORDS
Sensor networks

Computing systems

Intelligent sensors

Soil science

Sensors

Humidity

Neural networks

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