Maize Yield Prediction at an Early Developmental Stage Using Multispectral Images and Genotype Data for Preliminary Hybrid Selection

Maize Yield Prediction at an Early Developmental Stage Using Multispectral Images and Genotype Data for Preliminary Hybrid Selection

Assessing crop production in the field often requires breeders to wait until the end of the season to collect yield-related measurements, limiting the pace of the breeding cycle. Early prediction of crop performance can reduce this constraint by allowing breeders more time to focus on the highest-pe...

Full description

Bibliographic Details
Main Authors: Monica F. Danilevicz, Philipp E. Bayer, Farid Boussaid, Mohammed Bennamoun, David Edwards
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Remote Sensing
Subjects:
machine learning
crop breeding
multimodal learning
<i>Zea mays</i>
high-throughput phenotyping
computer vision
Online Access:https://www.mdpi.com/2072-4292/13/19/3976

Internet

https://www.mdpi.com/2072-4292/13/19/3976

Similar Items