Seasonal Variations in Radar Backscatter and Corn Vegetation in the South Fork Iowa River Watershed During the Growing Season of 2025
分析2025年生长季玉米区Sentinel-1雷达后向散射与Landsat NDVI的季节关系。
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Climate and Vegetation Indicators, Maize Yield, and Basis Risk In Index Insurance Evidence from Three Zambian Provinces, 2000–2023
检验赞比亚三省气候与植被指标对玉米产量的稳定性及指数保险触发效果。
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玉米生产精准农业系统综述：技术、应用与产量优化（2020—2026）
系统综述2020—2026年玉米精准农业技术、应用与产量优化研究。
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A physical-context-conditioned multimodal fusion network for estimating maize canopy nitrogen content using multi-source UAV remote sensing data
提出物理上下文条件化多模态融合网络，用多源无人机遥感估算玉米冠层氮含量。
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Raspberry Pi Lightweight Deep Learning Models Deployed for Corn Growth Stage Classification Using PhenoCam Images
用PhenoCam图像训练轻量深度学习模型，在树莓派上实时分类玉米8个生长阶段。
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Assessment of corn chlorophyll content via UAV‐derived vegetative indices across growth stages
用无人机多光谱植被指数评估玉米不同生育期冠层叶绿素含量。
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Diag-STFN：全球收获前作物产量预测的诊断时空多模态融合网络——覆盖38国玉米29国小麦（Ecological Informatics 2026）
提出诊断式时空多模态融合网络Diag-STFN，实现全球收获前玉米小麦产量预测。
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A comparative analysis on maize yield prediction using sentinel 2A and Landsat 8 satellite image in Sundarganj, Gaibandha, Bangladesh
用Sentinel 2A与Landsat 8的NDVI回归模型预测孟加拉国玉米产量并比较精度。
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Explainable spectral–image fusion multi-task learning for maize canopy biochemical and structural trait retrieval
提出光谱-图像融合多任务学习框架，同时反演玉米冠层四个生化与结构性状。
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A source-side trait-mediated framework for dynamic maize yield prediction using UAV multispectral imagery
提出基于无人机多光谱的源端性状中介框架，实现玉米动态产量预测。
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Machine Learning-Based Prediction of Fall Armyworm (Spodoptera frugiperda) Outbreaks in Maize Production Systems of Northern Nigeria Using Climate and Remote Sensing Data
用气候与遥感数据构建机器学习模型预测尼日利亚北部玉米草地贪夜蛾暴发。
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Transfer learning integrated with SCOPE model for maize yield prediction based on spectral data for different spatial scales
结合迁移学习与SCOPE模型，利用不同空间尺度光谱数据预测玉米产量。
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【系统综述】玉米精准农业：技术、应用与产量优化的综合评价（2020—2026）
系统综述2020-2026年玉米精准农业技术、应用与产量优化，纳入129项研究。
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Integrating UAV-derived enhanced disease detection index and texture features for monitoring southern corn rust severity
结合无人机增强病害检测指数与纹理特征，监测南方玉米锈病严重度。
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A map-based decision-support framework for variable-depth seeding of fodder maize integrating proximal soil sensing and multi-temporal satellite NDVI data
A map-based decision-support framework for variable-depth seeding of fodder maize integrating proximal soil sensing and multi-temporal satellite NDVI data。Precision Agriculture
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