Advancing Precision Agriculture through Computer Vision: a Comparative Study of CNN and Transformer Models for Cotton and Soybean Leaf Detection

Programa: Engenharia Mecânica
Nível: Mestrado

Título: Advancing Precision Agriculture through Computer Vision: a Comparative Study of CNN and Transformer Models for Cotton and Soybean Leaf Detection

Aluno: Thiago Henrique Segreto Silva

Orientador: Marcelo Becker
Banca: Prof. Assoc. Marcelo Becker (EESC – USP)
Prof. Tit. Glauco Augusto de Paula Caurin (EESC – USP)
Prof. Dr. André Carmona Hernandes (UFSCar)

Data: 01/08/2024
Hora: 09:00
Local: Programa de pós-graduação em Engenharia Mecânica : Sala de Seminários do SEM-EESC