农业大模型驱动智慧农业——技术、应用与趋势  

Large Agricultural Models Driving Smart Farming:Technology,Applications and Trends

作　　者：章强[1] ZHANG Qiang(Yangzhou Polytechnic College,Yangzhou 225009,China)

机构地区：[1]扬州职业大学,江苏扬州225009

出　　处：《扬州职业大学学报》2025年第1期40-44,50,共6页Journal of Yangzhou Polytechnic College

基　　金：江苏省农业农村厅软科学研究课题(24ASS074);扬州市社科重点课题(2024YZD-029)。

摘　　要：农业大模型作为智慧农业的新引擎,正推动农业生产方式的变革。系统分析农业大模型的关键技术、应用现状及发展趋势,结果表明,农业大模型在数据采集、模型构建和优化方面取得显著进展,在智慧种植、智慧养殖和农业管理决策等领域展现出广阔的应用前景。国内外案例分析显示,农业大模型能有效提升生产效率和资源利用率。未来,农业大模型将朝着更专业化、智能化和全面化方向发展,但仍面临数据孤岛、模型适应面不广等挑战。推动农业大模型广泛应用,需在技术创新、人才培养和政策支持等方面持续发力,促进农业高质量发展。Large agricultural models are emerging as new engines for smart agriculture,revolutionizing agricultural production methods.This study systematically analyzes the key technologies,current applications,and development trends of large agricultural models.Results indicate significant progress in data collection,model construction,and optimization,with broad application prospects in smart planting,smart breeding,and agricultural management decision-making.Case studies from China and abroad demonstrate that these models effectively improve productivity and resource utilization.Future development will trend towards more specialized,intelligent,and comprehensive applications,though challenges in data quality and model adaptability persist.Promoting widespread application of large agricultural models requires continuous efforts in technological innovation,talent cultivation,and policy support to facilitate high-quality agricultural development.

关 键 词：农业大模型 智慧农业 人工智能 精准农业 可持续农业 

分 类 号：S126[农业科学—农业基础科学]