Design and Application Research of Intelligent Water and Fertilizer Integrated System for Smart Agriculture in Arid Areas

Corresponding author: Zhu Junzhuo, 2552074630@qq.com
DOI: 10.12343/Agrixiv.202607.00002  CSTR: 31252.36.agrixiv.202607.00002
Statement: This article is a preprint and has not been peer-reviewed. It reports new research that has yet to be evaluated and so should not be used to guide clinical practice.
  •  

    Abstract: Aiming at the practical problems of agricultural water scarcity and low water and fertilizer use efficiency in the arid regions of Northwest China, this paper takes the Tianxiaoer intelligent integrated water and fertilizer system developed by Heda Technology as the research object. On the basis of the technical framework of "one perception network %2B one digital brain %2B one precise control pipeline" and the 4R precision management model (right method, right water volume, right time, right location), this paper systematically analyzes the technical logic and innovative characteristics of its hardware product matrix, FarMesh wireless ad hoc network communication technology and cloud management and control platform. Combined with the field comparative experimental data collected in the cotton planting area of Bole, Xinjiang in 2022, the water-saving and efficiency-improving effects of the system were verified empirically. The results show that the intelligent irrigation driven by model algorithms can reduce water consumption by 21.7% compared with traditional manual irrigation, cut water and fertilizer costs by 70–100 RMB per mu, increase cotton yield by 30–80 kg per mu, and achieve an average comprehensive income increase of 625 RMB per mu with an input-output ratio of 1:4.46. The lightweight and highly adaptable intelligent water and fertilizer system serves as an important technical approach to promote the digital transformation of agriculture and realize water conservation and efficiency improvement in arid regions. It can provide practical references for the large-scale promotion of smart agriculture in Northwest China.

    Key words: Smart Agriculture; Water-Fertilizer Integration; Wireless Ad Hoc Network; Agriculture in Arid Regions; 4R Precision Management

    Submit time: 1 September 2026

    Copyright: The copyright holder for this preprint is the author/funder, who has granted agriXiv a license to display the preprint in perpetuity.
  • 图表

  • Liusijia, Chengming, Zhangruoyufei, Zhujunzhuo, Muzaipaier`tuersun. Research on Intelligent Irrigation Decision-Making System for Cotton in Arid Areas Based on Soil Moisture Prediction. 2026. doi: 10.12343/Agrixiv.202607.00006

    ZHANGJIE, LITIAN, ZHAOHUA, ZHAORUIXUE, KOUYUANTAO, ZHULIANG. Metaverse Empowers Industry Alliance Resource Co-construction and Sharing: Service Scenario and Development Path --A case study of the National Agricultural Big Data and Information Service Alliance. 2026. doi: 10.12343/AgriXiv.202603.00002

    Bryan C. Runck, Adam Streed, Diane Wang, Patrick M. Ewing, Michael B. Kantar, Barath Raghava. State spaces for agriculture: a metasystematic design automation framework.. 2022. doi: 10.31220/agriRxiv.2022.00158

    Javier Ordóñez, Angelos Alexopoulos, Κωνσταντίνος Κούτρας, Αθανάσιος Καλογεράς, Kyriakos Stefanidis, Vanessa Marto. Blockchain in agriculture: a PESTELS analysis.. 2023. doi: 10.31220/agriRxiv.2023.00199

    Luis R. Comolli, Esteban Schegg, Cristian Infuleski, Hugo Enrique Fassola, Alejandra Von Wallis, Nardia Bulfe, Sara Regina Barth, María Elena Gauchat, Néstor Munareto, Fabio Wys. A sustainable integrated agroforestry system.. 2023. doi: 10.31220/agriRxiv.2023.00180

    Ana Menénde. Argentine scientific development of Agriculture 4.0. State of the art.. 2022. doi: 10.31220/agriRxiv.2022.00159

    Jacqueline N. Kariithi, DS Ngosia, Florence W Kamau, Daniel I. Rubenstei. Precision organic farming, increasing grain yield, soil nutrient management and economic viability for maize production.. 2023. doi: 10.31220/agriRxiv.2023.00212

    Abdul Rahim Junejo, Shakeel Ahmed Soomro, Komal Jamil Gujjar, N. IndianRaj, Jamshed Ali Channa, Jahangeer Dahri, Yasmin Junejo, Saba Qureshi, Muhammad Ibrahim Junejo, Khadija Uroo. Water saving and crop yield under sub-surface wick irrigation system for sponge gourd ( Luffa aegyptiaca ) and bitter gourd ( Momordica charantia ) crops.. 2023. doi: 10.31220/agriRxiv.2023.00177

    Abdul Rahim Junejo, Shakeel Ahmed Soomro, Aftab Ahmed Memon, Wenquan Niu, Yasmin Junejo, Jahangeer Dahri, Jamshed Ali Channa, Zahid Ali Channa, N. Indianraj, Hyder Bux Khoso, Khadija Urooj, Aamir Hussain Bhutt. Effects of sub-surface wick irrigation system on crop yield, irrigation intervals, base period and crop water productivity of sponge gourd and bitter gourd.. 2023. doi: 10.31220/agriRxiv.2023.00178

  • ID Submit time Number Download
    2 2026-08-01

    10.12343/Agrixiv.202607.00002V2

    Download
    1 2026-07-01

    10.12343/Agrixiv.202607.00002V1

    Download
  • Public  Anonymous  To author only

Get Citation

Zhu Junzhuo, Chen Ming, Zhang Ruoyufei, Muzaipar Tursun, Yumitijiang Abudureyimu. Design and Application Research of Intelligent Water and Fertilizer Integrated System for Smart Agriculture in Arid Areas. 2026. agriXiv.202607.00002

Article Metrics

  • Read: 187
  • Download: 4
  • Comment: 0

Email This Article

User name:
Email:*请输入正确邮箱
Code:*验证码错误