Author

Juliano de Bastos Pazini

Universidade de São PauloORCID 0000-0002-4350-1708Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Adriano Abreu Moreira· 1 shared Alexandre Hild AonoiD· 1 shared Felipe Augusto KrauseiD· 1 shared Fernanda Smaniotto Campion· 1 shared Fernando Henrique Iost FilhoiD· 1 shared José Baldin PinheiroiD· 1 shared Maiara OliveiraiD· 1 shared Patricia Braga· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

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1 shared paperGenetics

Adriano Abreu Moreira

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1 paper

Recent·Most cited

GeneticsbioRxivPreprintMay 19, 2025

Optimizing Soybean Breeding: High-Throughput Phenotyping Technologies for Stink Bug Resistance and High Yields

Maiara Oliveira, Alexandre Hild Aono, Patricia Braga…·José Baldin Pinheiro

This study uses high-throughput phenotyping with UAVs and machine learning to assess soybean resistance to stink bugs and yield, finding that certain image features and models can predict traits but not resistance effectively.

DOI 10.1101/2025.05.19.654360

imagingmachine learning (classical)

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