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在玉米和大豆基因型中使用植被指数和计算智能进行高通量表型化.

Paulo E Teodoro1, Larissa P R Teodoro2, Fabio H R Baio2

  • 1Federal University of Mato Grosso do Sul (UFMS), Chapadão do Sul, MS, Brazil. eduteodoro@hotmail.com.

Plant methods
|October 30, 2024
PubMed
概括

高通量表型 (HTP) 植被指数 (VIs) 可以预测作物特征. 使用像SAVI,GNDVI,NDVI和NDRE这样的VI的人工神经网络 (ANN) 可以准确预测玉米和大豆的谷物产量和其他农业学变量.

关键词:
甘氨酸最大值 (Glycine max) 是一种齐亚梅斯 (Zea mays) 是一种植物.人工神经网络的人工神经网络多光谱传感器传感器植物育种 植物育种

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