Using Machine Learning To Develop New Methods For Genetic Gain In Crops Challenged By Fungal Diseases. Grant

Overview

description

This project will apply a machine learning approach to genetic and high throughput phenotyping data to draw out genetic markers associated with resistance to fungal infections in wheat, canola, lentil, and chickpea crops.

date/time interval

February 17, 2020 - February 16, 2022

awarded by

Grains Research and Development Corporation

administered by

Curtin University

provides funding for

Using Machine Learning To Develop New Methods For Genetic Gain In Crops Challenged By Fungal Diseases. Completed Project