Fungal identification in peanuts seeds through multispectral images: Technological advances to enhance sanitary quality

por Sudki, Julia Marconato, Fonseca de Oliveira, Gustavo Roberto, de Medeiros, André Dantas, Mastrangelo, Thiago, Arthur, Valter, Amaral da Silva, Edvaldo Aparecido, Mastrangelo, Clíssia Barboza
Publicado 2023

An Approach Using Emerging Optical Technologies and Artificial Intelligence Brings New Markers to Evaluate Peanut Seed Quality

por Fonseca de Oliveira, Gustavo Roberto, Mastrangelo, Clíssia Barboza, Hirai, Welinton Yoshio, Batista, Thiago Barbosa, Sudki, Julia Marconato, Petronilio, Ana Carolina Picinini, Crusciol, Carlos Alexandre Costa, Amaral da Silva, Edvaldo Aparecido
Publicado 2022

A Reliable Method to Recognize Soybean Seed Maturation Stages Based on Autofluorescence-Spectral Imaging Combined With Machine Learning Algorithms

por Batista, Thiago Barbosa, Mastrangelo, Clíssia Barboza, de Medeiros, André Dantas, Petronilio, Ana Carolina Picinini, Fonseca de Oliveira, Gustavo Roberto, dos Santos, Isabela Lopes, Crusciol, Carlos Alexandre Costa, Amaral da Silva, Edvaldo Aparecido
Publicado 2022