人工智能技术在农业种植生产中的应用分析

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中图分类号 S126

文献标志码 A

文章编号 1007-7731(2026)08-0099-05

DOI号 10.16377/j.cnki.issn1007-7731.2026.08.023

Analysis on the application of artificial intelligence technology in agricultural planting production

Wang Yuhang

(Guizhou University of Finance and Economics, Guiyang , China)

Abstract This paper systematically reviewed the current state of Artificial Intelligence (AI) applications in the planting industry, the opportunities and challenges associated with its adoption, and future application trends. It focused on the technical pathways and practical outcomes of AI in three core scenarios: disease and pest diagnosis and control, intelligent irrigation systems, and precision planting. In the area of pest and disease management, multimodal recognition models integrating image, meteorological, and soil data enable accurate identification of common pests and diseases, allowing for early warnings of outbreak cycles. In intelligent irrigation, two types of systems based on motor control and Transformer architecture have enhanced the control accuracy of irrigation, resulting in a increase in annual water-saving efficiency. In precision planting, AI applications cover the entire process of soil monitoring and analysis, seed selection, and variable-rate sowing, effectively improving land use efficiency and crop yield. Current AI applications demonstrate considerable potential in advancing precision and efficiency in agricultural production, enhancing agricultural monitoring and management, and optimizing agricultural supply chains. However, they also face challenges such as infrastructure, application costs, data collection and processing, model generalizability, and ethical and regulatory frameworks. In the future, the applications of AI in agriculture will feature deeper integration of multiple technologies, extension of application scenarios across the entire industry chain, accelerated inclusive development, and synergistic improvements in productivity and sustainability. It also offers targeted recommendations in the areas of technological research and development, policy support, regulation and ethics, and international cooperation. This paper provides a reference for promoting the deeper integration of AI technologies with agricultural production.

Keywords artificial intelligence; smart agriculture; planting production; disease and pest identification; intelligent irrigation

智慧农业依托人工智能(AI)与物联网技术,通过传感器感知农业对象,在电脑或移动终端实现种植、土地管理、农药施用、设备调度、污染物防治等环节的自动化与精准化管理 [1-2] ,具备精准感知、智能控制、科学决策和精细管理的核心特质 [3] 。（剩余9102字）