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...
Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2024-02-01
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Series: | Frontiers in Plant Science |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fpls.2024.1339864/full |