Yield prediction in a peanut breeding program using remote sensing data and machine learning algorithms

Peanut is a critical food crop worldwide, and the development of high-throughput phenotyping techniques is essential for enhancing the crop’s genetic gain rate. Given the obvious challenges of directly estimating peanut yields through remote sensing, an approach that utilizes above-ground phenotypes...

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Bibliographic Details
Main Authors: N. Ace Pugh, Andrew Young, Manisha Ojha, Yves Emendack, Jacobo Sanchez, Zhanguo Xin, Naveen Puppala
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-02-01
Series:Frontiers in Plant Science
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2024.1339864/full