Author

Hildo Loayza

International Potato CenterORCID 0000-0002-4145-5453Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Research Focus:differential expression· 2 Approach:machine learning (classical)· 2 Research Focus:clustering· 1 Assay:imaging· 1 Assay:multiome· 1 Organism:plant (other)· 1

Frequent Co-Authors

David A. RamíreziD· 2 shared Jan Frederik KreuzeiD· 2 shared Javier RinzaiD· 2 shared Johan NinanyaiD· 2 shared L. G. da SilvaiD· 2 shared Bettina HeideriD· 1 shared Carlos MestanzaiD· 1 shared Fernando Pujaico RiveraiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 41 mutual co-author links

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2 shared papersBiophysics

David A. RamírezORCID

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2 papers

Recent·Most cited

BiophysicsPLoS ONEPeer-reviewedJul 16, 2026

Can a history of crop rotations improve the prediction of soil organic carbon in the Andes? integrating machine learning multi-annual crop classification as a proxy of soil management

Marcelo Bueno, Hildo Loayza, Johan Ninanya…·David A. Ramírez

This study models soil organic carbon in the Andes using machine learning with crop rotation data, finding that fallow frequency is a key predictor of SOC when soil data are excluded.

1 citation

multiomemachine learning (classical)

𝕏 PostBluesky

Plant BiologybioRxivPreprintApr 9, 2026

Prediction of late blight severity in a large panel of potato genotypes using low-altitude aerial images and machine learning methods

Hildo Loayza, Johan Ninanya, Susan Palacios…·David A. Ramírez

This study uses UAV-derived multispectral imagery and machine learning to predict late blight severity in potato genotypes, showing improved accuracy over traditional methods.

DOI 10.64898/2026.04.06.716456

plant (other)imaging

𝕏 PostBluesky