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一个双阶段的数据驱动的基于过程的模型,用于种植和产量预测:结合可解释的人工智能和作物建模.

Zheng Ni1, Yanbin Chang1, Joshua Kemp2

  • 1School of Industrial Engineering and Management, Oklahoma State University, Stillwater, OK, United States.

Frontiers in plant science
|January 26, 2026
PubMed
概括

这项研究介绍了一种可解释的杂交作物模型,用于种植. 它使用数据驱动和基于过程的方法来预测产量和识别精英混合物,提高农业效率和可持续性.

关键词:
GxE GxE 在线观看农作物建模作物的模型.数据驱动的数据驱动.可以解释的人工智能AI神经网络的神经网络的神经网络基于过程的基于过程的过程.

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