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DOE OSTI · 2523701

CORN (Crop Optimization Realized through Neuralnets)

Tevar, Amul·Schnable, James
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Abstract

Traditional models of predicting plant traits are limited because they often rely on linear assumptions that do not fully capture the complexity of biological interactions and DNA-based markers which are static across environments. This project generated a set of RNA-based data from large multi-environment field trials and combined it with advanced machine learning techniques to account for these complex interactions and improve the accuracy of predictions.

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59 BASIC BIOLOGICAL SCIENCESPlant trait prediction

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Tevar, Amul, Schnable, James. 2024-08-29. CORN (Crop Optimization Realized through Neuralnets). https://doi.org/10.2172/2523701

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