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Intelligent Agricultural Water and Fertilizer Irrigation System based on ZigBee Technology and STM32

Published:07 March 2024Publication History

ABSTRACT

With the continuous development of China's Internet of Things technology, the application of this technology in agriculture is becoming more and more extensive. China's agricultural irrigation has shown a trend of automation, but the current automatic irrigation system cannot automatically control the amount of water irrigation, and it is not intelligent enough. The irrigation water closely related to the development of modern green agriculture is far from meeting the development requirements of China 's agriculture. When the irrigation amount is too large, it will cause serious waste of water resources, and when the irrigation amount is too small, it will affect the growth of crops. Based on this situation, this paper designs an intelligent agricultural irrigation system, which combines the communication module with the single-chip microcomputer, and monitors the data of the crop growth environment in real time with the help of ZigBee wireless communication and sensors. According to different crop growth models and soil nutrient content and the characteristics and laws of fertilizers needed by crops, an intelligent irrigation system platform model for real-time monitoring of crop growth environment information based on the Internet of Things is constructed. After testing, the model can predict the amount of water and fertilizer required in the process of crop growth, so as to make timely and appropriate irrigation decisions scientifically, so as to improve the level of irrigation management. The system can greatly alleviate the problem of waste of water resources and soil compaction. It can not only realize water saving and energy saving, but also promote agricultural production and income increase. It provides a technical basis and support platform for the follow-up development of intelligent agriculture.

References

  1. Liao Xijie Song Chen, Wang Huihu and so on. Design of Intelligent Irrigation System [ J ]. Computer Knowledge and Technology, 2020,16 ( 08 ) : 51-52.DOI : 10.14004 / j.cnki.ckt.2020.0884.Google ScholarGoogle Scholar
  2. Yuanmei in Linqiuli section. Design of intelligent irrigation system based on STM32 technology [ J ].Computer programming skills and maintenance, 2023 ( 06 ) : 119-121.DOI : 10.16184 / j.cnki.comprg.2023.06.038.Google ScholarGoogle Scholar
  3. Sharifnasab HA,Dehghanisanij H, Evaluating the Use of Intelligent Irrigation Systems Based on the IoT in Grain Corn Irrigation[J]. Water,2023,15(7).Mahrokh.Google ScholarGoogle Scholar
  4. Liu Hengjia, Xia Yishuo, Wu Junxiang and so on. Intelligent irrigation control system based on crop growth model [ J ].Southern Agricultural Machinery, 2023,54 ( 08 ) : 59-62.Google ScholarGoogle Scholar
  5. Wu Qianhui Siyu, Wang Yimei and so on. Cultivation techniques of water and fertilizer integration for solanaceous vegetables in open field [ J ].Vegetables, 2023 ( 09 ) : 41-44.Google ScholarGoogle Scholar

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  1. Intelligent Agricultural Water and Fertilizer Irrigation System based on ZigBee Technology and STM32

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    • Published in

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      ICNCC '23: Proceedings of the 2023 12th International Conference on Networks, Communication and Computing
      December 2023
      310 pages
      ISBN:9798400709265
      DOI:10.1145/3638837

      Copyright © 2023 ACM

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 7 March 2024

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