人工智能驱动精准农业模式创新——乡村新质生产力数字化培育的路径
高勋, 李响
无锡商业职业技术学院, 江苏 无锡 214000
起止页码: 65--69页
DOI:
摘要：
精准农业作为农业现代化的核心方向，其模式创新离不开人工智能技术的深度赋能，而这一进程与乡村新质生产力数字化培育紧密相连。人工智能驱动下，精准农业可显著提升生产精准度与效率，对新质生产力培育产生多重正向影响：增强农业系统抗风险韧性，提升应对市场与自然风险的能力；促进农业劳动力结构优化，释放劳动力潜能；引导农业生产向绿色低碳转型，减少资源浪费与环境压力。然而，当前培育过程中存在精准农业设备与乡村实际适配性差、农民数字技能不足、政策保障体系不完善及数据安全隐患等问题，为此，应聚焦AI技术与农业场景的融合创新，通过技术成本控制、基建强化、数据治理及技能培训等路径，破解发展障碍，推动乡村新质生产力实现数字化跃升。
AI-Driven Innovation in Precision Agriculture Models ——The Paths of Digital Cultivation for New-Quality Rural Productive Forces
GAO Xun, LI Xiang
Wuxi Vocational Institute of Commerce, Wuxi, Jiangsu 214000, China
Abstract:
As a core direction of agricultural modernization, the model innovation of precision agriculture cannot be achieved without the in-depth empowerment of artificial intelligence (AI) technology, and this process is closely linked to the digital cultivation of new-quality productive forces in rural areas. Driven by AI, precision agriculture can significantly improve production accuracy and efficiency, exerting multiple positive impacts on the cultivation of new-quality productive forces: enhancing the risk resistance resilience of agricultural systems and improving the ability to respond to market and natural risks; promoting the optimization of the agricultural labor structure and releasing the potential of the labor force; guiding the transformation of agricultural production towards green and low-carbon development, thereby reducing resource waste and environmental pressure. However, in current cultivation process, there are problems such as poor adaptability of precision agricultural equipment to the actual conditions in rural areas, insufficient digital skills of farmers, inadequate policy support systems, and potential data security risks. To address these issues, it is necessary to focus on the integrated innovation of AI technology and agricultural scenarios, and overcome development obstacles through paths such as technology cost control, infrastructure enhancement, data governance, and skill training, so as to promote the digital leap of new-quality productive forces in rural areas. Key words: artificial intelligence(AI); precision agriculture; new-quality rural productive forces; digital cultivation
收稿日期: 2025-9-24
基金项目: 2025年无锡市科协软科学研究课题“可信数据底座与链上共富：无锡乡村新质生产力培育的数字化路径探究”（KX-25-A23）
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