农业机械学报2026，Vol.57Issue(17)：86-93,8.DOI:10.6041/j.issn.1000-1298.2026.17.008
基于无人机多光谱影像的玉米涝渍胁迫产量估算方法
Estimation of Maize Yield under Waterlogging Stress Based on UAV Multispectral Images
摘要
Abstract
Waterlogging stress is one of the major meteorological disasters in maize production.Rapid and accurate estimation of maize yield under waterlogging stress is crucial for disaster management and field production decision-making.Traditional field-based manual observation methods are difficult to meet the timeliness requirements of disaster assessment.Multi-variable waterlogging simulation experiments were conducted during the maize jointing stage,incorporating factors such as water depth,submergence duration,and cultivar variation.Three sets of unmanned aerial vehicle(UAV)multispectral images were acquired throughout the experimental period.Vegetation indices highly correlated with yield were identified by using the Pearson correlation coefficient method,and a maize yield estimation model was developed based on the random forest algorithm.This study aiming to evaluate the potential of UAV-based multispectral remote sensing for estimating maize yield under waterlogging stress.The results showed that the waterlogging-tolerant variety MY73 exhibited the strongest stress resistance and the highest yield potential.The yield of MY73 under different treatments ranged from 4 300 kg/hm2to 10 500 kg/hm2.However,the yield of all varieties significantly decreased with the increase of flooding severity and duration.The sensitivity of vegetation indices to yield varied with the acquisition time of UAV images,among which EVI and DVI were significantly correlated with yield at all time points.The combination of the random forest algorithm and sensitive vegetation indices enabled high-accuracy estimation of maize yield under waterlogging stress.The stability of the multi-period collaborative model for estimating maize yield per unit area was superior to that of a single time point,with an R2 of 0.86,RMSE of 954.15 kg/hm2,and MAE of 700.65 kg/hm2,and NRMSE of 10.50％on the test set.Therefore,unmanned aerial vehicle multispectral remote sensing technology demonstrated the capability to achieve rapid estimation of maize yield under waterlogging stress.关键词
玉米/涝渍胁迫/估产/无人机/多光谱Key words
maize/under waterlogging stress/yield estimation/unmanned aerial vehicle/multispectrum分类
信息技术与安全科学引用本文复制引用
束美艳,高菲,王之翼,乔红波,汤继华,顾晓鹤,汪强..基于无人机多光谱影像的玉米涝渍胁迫产量估算方法[J].农业机械学报,2026,57(17):86-93,8.基金项目
国家自然科学基金项目(42401438)、河南省自然科学基金项目(252300421158)、国家资助博士后研究人员计划项目(GZC202307)和河南省高等学校重点科研项目(25A520027) （42401438）
