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用自动化高光谱成像在米中量化生理特征变异.

To-Chia Ting1, Augusto C M Souza2, Rachel K Imel1

  • 1Agronomy Department, Purdue University, West Lafayette, IN, United States.

Frontiers in plant science
|October 6, 2023
PubMed
概括

超光谱成像准确地预测了和碳对的比例在树上. 最佳的模型性能需要仔细的校准集设计和超参数优化,以实现精确的植物表型.

关键词:
这是一种Oryza sativa.遗传多样性 遗传多样性增长的特征 增长的特征高通量表型化 (high-throughput phenotyping) 是一种高通量表型化方法.这就是的酸.

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