Performance Evaluation of Super‐Resolution Techniques for Characterization and Phenotyping of Commodity Crops Using Multispectral Imagery
评估八种RGB预训练超分方法直接用于多光谱作物图像，检验其空间增强与光谱保真效果。
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Growth Stage and Cultivar Influence the Interpretation of UAV-Derived NDVI for Potato Yield Assessment
研究不同品种和生育期下无人机NDVI与马铃薯产量的关系差异。
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3D modeling for crop applications in precision agriculture: a review
3D modeling for crop applications in precision agriculture: a review。Precision Agriculture
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RTAS: A radiative transfer model for agricultural strip-intercropping structures
提出RTAS混合辐射传输模型，模拟条带间作农田的反射率并验证其精度。
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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。
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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。
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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。
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Evaluating Mesh Reconstruction Methods for Crop Phenotyping
评估7种网格重建流程在作物表型三维数字化中的保真度与一致性。
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Predicting plant leaf functional traits using 2D spectral representation and multi-task learning with multi-gate mixture-of-experts
用二维光谱表示与多门混合专家多任务学习预测植物叶片功能性状。
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Considering the allocation of photosynthetic and non-photosynthetic nitrogen to improve the accuracy of radiative transfer model for estimating leaf biochemical traits
区分光合与非光合氮分配，改进辐射传输模型以提升叶片生化参数估算精度。
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Physiology-Informed Hyperspectral Retrieval of Leaf Vcmax across Wheat and Maize
Physiology-Informed Hyperspectral Retrieval of Leaf Vcmax across Wheat and Maize。Smart Agricultural Technology
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PhenoStream: A Cyberinfrastructure for Automated and AI-Based Crop Trait Extraction from Aerial Imagery
提出 PhenoStream 网络基础设施，自动化航空影像作物性状提取全流程。
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