蔬菜Issue(5)：13-22,10.DOI:10.26924/j.cnki.sczz.2026.5002
露地蔬菜无人化作业技术应用现状及技术评估方法探索
Application Status of Unmanned Operations and Exploration of Technical Evaluation Methods in Open-field Vegetables
摘要
Abstract
Unmanned operation technology for open-field vegetables is recognized as a key driver of agricultural intelligent transformation,promoting the vegetable industry toward efficiency,precision and sustainability.The current application status of unmanned operation technology across all production stages is systematically reviewed in this study,including land preparation,transplanting/sowing,field management,and harvesting.The core characteristics of intelligent and precise continuous operations are revealed,while challenges such as insufficient technical maturity and high costs are identified.To address these issues,on the basis of analyzing the research status of unmanned operation technology evaluation of open-field vegetables,a comprehensive quality evaluation system covering the entire production process is established.Through multidimensional indicators(such as operational accuracy,stability,efficiency)and scientific weight allocation methods(Delphi method and Analytic Hierarchy Process),a systematic assessment of unmanned operation technology is achieved.Furthermore,an empirical analysis of input-output ratio is conducted using cabbage as an example,quantifying the economic benefits of unmanned operations.The results indicate that,despite yield losses in certain stages,fully unmanned operations demonstrate significant advantages in resource utilization and cost control.This study provides theoretical and practical references for optimizing and promoting unmanned technology in open-field vegetable production,contributing to the acceleration of agricultural modernization.关键词
露地蔬菜/无人化作业/质量评估/投入产出比/智能化农业/精准农业/技术优化Key words
open-field vegetable/unmanned operation/quality evaluation/input-output ratio/intelligent agriculture/precision agriculture/technical optimization分类
农业科技引用本文复制引用
韩笑,李庆学,王元胜..露地蔬菜无人化作业技术应用现状及技术评估方法探索[J].蔬菜,2026,(5):13-22,10.基金项目
国家重点研发计划项目(2023YFD2001205). （2023YFD2001205）
