Yield prediction in a peanut breeding program using remote sensing data and machine learning algorithms
N. Ace Pugh,
Andrew Young,
Manisha Ojha
et al.
Abstract: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 to estimate underground yield is necessary. To that end, this study leveraged unmanned aerial vehicles (UAVs) for high-throughput phenotyping of surface traits in peanut. Using a diverse set of peanut germplasm pla… Show more
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