What is it about?
Review of ML applications for predictive analytics in agriculture compared to classical analytical approaches.
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Photo by Ricardo Gomez Angel on Unsplash
Why is it important?
It is the first time this topic is being reviewed.
Perspectives
ML applications and graph modeling framework presented here enable 1.2x to 2x increase in predictive accuracy for the prediction of the F1 progeny phenotypes based on information from parents.
Elhan Ersoz
Umbrella Genetics
Read the Original
This page is a summary of: On to the next chapter for crop breeding: Convergence with data science, Crop Science, March 2020, Wiley,
DOI: 10.1002/csc2.20054.
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