摘要
提升耕地生产能力是保障国家粮食安全的根本性战略举措。当前针对高标准农田建设成效评估的研究存在显著不足:一方面,既有研究成果多聚焦于静态指标体系和传统评价方法的构建,存在研究范式单一化、方法路径趋同化等问题;另一方面,现有评估体系过度依赖人工计算,存在效率低下、重复劳动、智能化水平不足等固有缺陷,特别是缺乏集成化的在线评估系统,导致项目推进过程中共性技术难题呈现周期性复现特征,严重制约高标准农田建设的可持续发展。针对上述研究瓶颈,本文通过建立高标准农田建设后效动态评价指标库、方法库,构建高标准农田建设后效动态评价模式,为高标准农田建设的科学决策和精准管理提供理论支撑和技术保障。Enhancing cultivated land productivity constitutes a fundamental strategic initiative for safeguarding national food security. Current research on effectiveness evaluation of high-standard farmland construction reveals significant deficiencies: On the one hand, existing studies predominantly focus on establishing static indicator systems and conventional evaluation methodologies, exhibiting homogenized research paradigms and convergent methodological approaches. On the other hand, the prevailing evaluation framework excessively relies on manual computation, demonstrating inherent limitations such as inefficiency, redundant workloads, and insufficient intelligent capabilities, particularly the absence of integrated online evaluation systems. These technical shortcomings have led to periodic recurrence of common technical challenges during project implementation, severely constraining the sustainable development of high-standard farmland construction. To address these research bottlenecks, this study establishes a dynamic post-effect evaluation indicator repository and methodological database for high-standard farmland construction, subsequently constructing a dynamic post-effect evaluation framework for high-standard farmland construction. This systematic approach aims to provide both a theoretical foundation and technical support for scientific decision-making and precision management in high-standard farmland construction projects.
出处
《农业科学》
2025年第5期689-694,共6页
Hans Journal of Agricultural Sciences
基金
陕西省科协企业创新争先青年人才托举计划(项目编号:20230612)。
