Deep Multiview Image Fusion for Soybean Yield Estimation in Breeding Applications.
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ABSTRACT:
SUBMITTER: Riera LG
PROVIDER: S-EPMC8240512 | biostudies-literature | 2021
REPOSITORIES: biostudies-literature
Publications
Deep Multiview Image Fusion for Soybean Yield Estimation in Breeding Applications.
Riera Luis G LG Carroll Matthew E ME Zhang Zhisheng Z Shook Johnathon M JM Ghosal Sambuddha S Gao Tianshuang T Singh Arti A Bhattacharya Sourabh S Ganapathysubramanian Baskar B Singh Asheesh K AK Sarkar Soumik S
Plant phenomics (Washington, D.C.) 20210623
Reliable seed yield estimation is an indispensable step in plant breeding programs geared towards cultivar development in major row crops. The objective of this study is to develop a machine learning (ML) approach adept at soybean (<i>Glycine max</i> L. (Merr.)) pod counting to enable genotype seed yield rank prediction from in-field video data collected by a ground robot. To meet this goal, we developed a multiview image-based yield estimation framework utilizing deep learning architectures. Pl ...[more]
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