Application of AI in Precision Fertilization and Irrigation Management

Authors

  • Yuxuan Yao
  • Shenglan Ye

DOI:

https://doi.org/10.54097/j0f2t330

Keywords:

Precision irrigation, Precision fertilization, Artificial intelligence, Runoff pollution

Abstract

With the increasing pressure on global food security and the need for sustainable agricultural development, precision agriculture (Precision Agriculture) has become a key direction in modern agriculture. Artificial intelligence (AI) technology, through data-driven decision-making, shows great potential in precise fertilization and irrigation, and can control runoff pollution. This paper systematically reviews the application models of AI technology in key areas such as soil nutrient management, crop water demand prediction, and variable equipment control. It analyzes the technical advantages, existing challenges, and future trends, aiming to provide a reference for the development of smart agriculture technology.

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References

[1] Sun Jun, Estimation of crop evaporation and transpiration based on UAV remote sensing [D], Northwest A&F University, 2024

[2] Zheng Guoqing, Zhao Qiaoli, Qiao Shu, et al. Application of Corn Canopy Spectroscopy in Agronomic Parameters [C]// China Agricultural Society Science and Technology Information Branch, China Agricultural Society Agricultural Library Branch, China Agricultural Society Computer Agriculture Application Branch. Compilation of Papers from the China Agricultural Information Technology Innovation and Discipline Development Conference. Henan Academy of Agricultural Sciences Center for Agricultural Economics and Information Research; Henan Academy of Agricultural Sciences Center for Agricultural Economics and Information Research; Henan Academy of Agricultural Sciences Center for Agricultural Economics and Information Research; Henan Academy of Agricultural Sciences Center for Agricultural Economics and Information Research, 2007:202-206.

[3] Feng Feng, Wang Mengzhen, Chen Dongyu, et al. Path analysis of the influence of meteorological factors on crop water demand in Yellow River irrigation area [J]. People's Yellow River, 2022,44(03).

[4] Li Zhaozhe. Identification and risk assessment of key meteorological factors for wheat Fusarium head blight in Jiangsu Province [D]. Yangzhou University, 2023.

[5] Yang Bo. Evaluation and optimization of water use efficiency for grain production in Huang-Huai-Hai Plain [D]. Chinese Academy of Agricultural Sciences, 2024.

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Published

30-04-2025

Issue

Section

Articles

How to Cite

Yao, Y., & Ye, S. (2025). Application of AI in Precision Fertilization and Irrigation Management. Journal of Computing and Electronic Information Management, 16(3), 84-87. https://doi.org/10.54097/j0f2t330