Application of AI in Precision Fertilization and Irrigation Management Article Swipe
Related Concepts
Human fertilization
Irrigation
Agricultural engineering
Computer science
Environmental science
Engineering
Agronomy
Biology
Yuanqing Yao
,
Shenglan Ye
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.54097/j0f2t330
· OA: W4410002928
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.54097/j0f2t330
· OA: W4410002928
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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