文献类型：期刊文献

中文题名：人工智能和大数据在土地整治中的应用——现状、问题及未来方向

英文题名：Application of artificial intelligence and big data in land consolidation:current status,problems,and future directions

作者：李帮美 张英佳 简元菊

第一作者：李帮美

机构：[1]荔波县自然资源局,贵州荔波558400;[2]贵州理工学院建筑与城市规划学院,贵州贵阳550025

第一机构：荔波县自然资源局,贵州荔波558400

年份：2026

期号：1

起止页码：42-46

中文期刊名：贵州农机化

基金：贵州哲学社会科学规划年度课题(24GZYB102)。

语种：中文

中文关键词：人工智能;大数据;土地整治;智能化治理;空间规划优化

外文关键词：artificial intelligence;big data;land consolidation;intelligent governance;spatial planning optimization

摘要：采用系统综述方法,全面梳理了人工智能与大数据在土地整治前期调查、规划设计、实施监管及效益评估等方面的应用现状,揭示了当前面临的多源数据融合难、算法泛化能力不足、基层应用落地困难及制度配套不完善等关键问题。基于此,从数据治理、算法优化、业务融合与政策制度四个维度凝练提出构建智能化整治体系的路径。指出推动上述四维协同发展,是构建智能化土地整治体系,实现其向智能化、精细化与可持续方向转型的关键路径,也为相关领域的理论创新与实践探索提供了重要参考。
Adopting a systematic review approach,this paper comprehensively examines the current applications of artificial intelligence and big data in various stages of land consolidation,including pre-survey,planning and design,implementation supervision,and benefit evaluation.It reveals the key challenges,such as difficulties in multi-source data fusion,insufficient algorithm generalization a bility,challenges in practical application at the grassroots level,and imperfect supporting systems.Based on these challenges,the paper proposes a path to build an intelligent land consolidation system from four dimensions:data governance,algorithm optimization,business integration,and policy systems.It points out that promoting the coordinated development of these four dimensions is the key to building an intelligent land consolidation system and achieving its transformation towards intelligence,refinement,and sustainability.It also provides an important reference for theoretical innovation and practical exploration in related fields.