Forecasting Cotton Productivity in the Mil-Mugan Economic Region using Climate Variables and Remote Sensing Data
结合Sentinel-2 NDVI与气候变量，构建多元模型预测米尔-穆甘地区棉花产量。
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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。
A Dual-Phenological-Characteristic Weighting Method to Reconcile Time Discrepancies in Soybean Phenology Estimation from MODIS NDVI Time Series
提出双物候特征加权法，校正MODIS NDVI大豆物候估计与地面观测的时间偏差。
Remote sensing-driven soil fertility modelling and summer rice suitability mapping in a floodplain agroecosystem of Assam
Remote sensing-driven soil fertility modelling and summer rice suitability mapping in a floodplain agroecosystem of Assam。Paddy and Water Environment
Rice Cropping Pattern Mapping Using GEE-Based Sentinel-1/2 Time-Series Imagery and Machine Learning
基于GEE融合Sentinel-1/2时序与地形特征，用机器学习高精度制图长三角水稻种植模式。
NDAVI Improves Genotypic Discrimination in Dense Bread Wheat Canopies under Moderate Nitrogen Contrast
评估无人机多光谱植被指数在密植小麦中区分氮处理和基因型的能力。
Optimizing canopy nitrogen retrieval in wheat from high-resolution UAV hyperspectral data using RTM-based Gaussian process regression
用PROSAIL-PRO与高斯过程回归从无人机高光谱数据反演小麦冠层氮含量。
Yield ranking of spring wheat breeding lines absent from model training within two contrasting seasons in northern Kazakhstan
评估春小麦育种品系产量模型在未参与训练品系上的跨季预测能力。
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。
Multi-features and Fuzzy with Residual Lenet for Cotton Classification Using Remote Sensing Image
提出多特征与模糊结合残差LeNet的遥感影像棉花分类方法。
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。
Spatial and Temporal Analysis of Rice Yield Using the DSSAT Model in the Kommamuru Canal Command Area, Guntur (Dist), Andhra Pradesh, India
用DSSAT-CERES水稻模型结合Sentinel-2遥感，分析印度Guntur灌区2022-20
Spatiotemporal Deep Learning for Rice Plant Height Estimation from Multi-Temporal UAV RGB Imagery
提出Rice-STNet时空深度学习框架，用多时相无人机RGB影像估算水稻株高。
AgriMAC: An Attention Based Multimodal Deep Clustering Framework for Rice Health Assessment
提出无监督多模态聚类框架AgriMAC，融合无人机NDVI、IoT土壤与气象数据评估水稻健康。
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。
UAV多光谱不同空间分辨率匹配春小麦多性状监测
用无人机多光谱重采样14种分辨率，结合PROSAIL与随机森林，研究春小麦多性状反演的空间尺度效应。
基于高光谱遥感和跨区域迁移学习的冬小麦叶绿素含量评估
提出RATL迁移学习框架，解决高光谱遥感跨区域冬小麦叶绿素评估的域偏移问题。
Automated Machine Learning-Driven UAV Remote Sensing for Accurate Winter Wheat Water Content Prediction
用无人机多光谱、RGB和热红外遥感结合AutoML预测冬小麦含水量。
Proceedings of the International Association of Hydrological Sciences·9月16日 · 周三68 分 论文遥感与农情监测农业遥感与作物表型阅读 1
A remote sensing–based approach to the regionalization of socioeconomic indicators in an agricultural headwater catchment in Northern Benin
结合遥感与采样方法，将地块级社会经济指标区域化到贝宁北部农业流域。
Extracting Summer-Harvested Crops in the Baojixia Irrigation District Using CycleGAN and Transfer Learning
用CycleGAN和迁移学习融合无人机与卫星影像，提取宝鸡峡灌区夏收作物。