MAPEAMENTO DA SOJA POR INTERPRETAÇÃO VISUAL E RANDOM FOREST: COMPARAÇÃO DE CONCORDÂNCIA E EFICIÊNCIA EM RIO VERDE (GO)
比较Sentinel-2大豆人工目视解译与随机森林分类的精度与效率。
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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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Scaling up soybean breeding: Satellite imagery delivers accurate maturity estimation across plot sizes
用卫星影像替代无人机估算大豆成熟期，实现规模化育种表型分析。
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An Improved Transformer-KAN Model for Soybean Mapping Based on Multi-Temporal Remote Sensing Data
提出改进的Transformer-KAN模型，基于多时相遥感数据实现高精度、可迁移的大豆种植区制图。
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