Machine learning approaches for crop improvement: Leveraging phenotypic and 
genotypic big data

Tong, H.; Nikoloski, Z.

doi:10.1016/j.jplph.2020.153354

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Machine learning approaches for crop improvement: Leveraging phenotypic and genotypic big data

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Tong, H.
Mathematical Modelling and Systems Biology - Nikoloski, Cooperative Research Groups, Max Planck Institute of Molecular Plant Physiology, Max Planck Society;

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Nikoloski, Z.
Mathematical Modelling and Systems Biology - Nikoloski, Cooperative Research Groups, Max Planck Institute of Molecular Plant Physiology, Max Planck Society;

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Tong, H., & Nikoloski, Z. (2021). Machine learning approaches for crop improvement: Leveraging phenotypic and genotypic big data. Journal of Plant Physiology, 257: 153354. doi:10.1016/j.jplph.2020.153354.

Cite as: https://hdl.handle.net/21.11116/0000-0007-A8F9-3

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