Author

M. Gore

3 papers indexed here

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Open access Sep 2026

An open field phenomics resource for multimodal maize yield prediction across divergent environments

Temporal drone phenotyping captures crop development, but irregular flight schedules complicate comparisons across environments. We release curated imagery from 356 flights across 19 Genomes to Fields environments containing 1,180 maize (Zea mays L.) hybrids. To evaluate its utility, we integrated functional principal...

Aaron J. DeSalvio, Peiman Mohseni, Alper Adak et al. · bioRxiv · 1 citation

#protein folding Open access Sep 2026

3D chromatin remodeling during domestication defines novel targets for crop improvement.

This study provides a resource for redefining precision-breeding paradigms by harnessing cryptic 3D chromatin targets by decoupling sequence-level from chromatin-level selection and shifting the subgenome expression balance of 39 homoeologs in cultivated cotton.

Xian-Hui Huang, Ya-Bing Peng, Xiu-Bao Hu et al. · Cell · 0 citations

#machine learning Preprint Sep 2026

Private Computation Space: Experience with Trusted Multi-Cluster Federated Learning for Agriculture

The Private Computation Space (PCS), a deployed, open-source Machine Learning system to provision and process farmer data securely and improve the worst single-site model accuracy by 22.4% and 9.1%, respectively, while preserving privacy.

Shuang-Yu Lei, M. Abid, Jacob Belding et al. · 0 citations