天津农业科学2026，Vol.32Issue(3)：80-84,5.DOI:10.3969/j.issn.1006-6500.2026.03.013
生成式AI赋能都市农业的逻辑机理与困境
The Logical Mechanisms and Challenges of Generative AI in Empowering Urban Agriculture
摘要
Abstract
This study constructed a"knowledge-data-space"triad coupling framework,analyzed three empowerment mechanisms:converted implicit agronomic knowledge into actionable instructions,synthesized scarce training data,and optimized agricultural spa-tial layouts to formed an intelligent closed loop.Simultaneously,it revealed four major dilemmas:data fragmentation,small-scale data,and privacy concerns;model hallucinations;conflicts between AI carbon emissions and decarbonization goals;"secondary knowledge payment"triggered by technological monopolies;and ambiguous responsibilities with governance gaps.Finally,it proposed targeted multi-level governance strategies:resolving data challenges through data trusts and federated learning,alleviating energy pressures via green electricity and edge computing,balancing power structures through open-source communities and public interventions,and ad-dressing governance challenges with regulatory sandboxes and insurance mechanisms.This research provides theoretical and practical support for generative AI innovation in urban agriculture.关键词
生成式人工智能/都市农业/逻辑机理/可持续发展Key words
generative artificial intelligence/urban agriculture/logic mechanism/sustainable development分类
农业科技引用本文复制引用
孔祥智,齐天真..生成式AI赋能都市农业的逻辑机理与困境[J].天津农业科学,2026,32(3):80-84,5.基金项目
天津科协重点决策咨询课题(2025034) （2025034）
