Laser-Induced Breakdown Spectroscopy Associated with the Design of Experiments and Machine Learning for Discrimination of <i>Brachiaria brizantha</i> Seed Vigor

Laser-Induced Breakdown Spectroscopy Associated with the Design of Experiments and Machine Learning for Discrimination of <i>Brachiaria brizantha</i> Seed Vigor

Laser-induced breakdown spectroscopy (LIBS) associated with machine learning algorithms (ML) was used to evaluate the <i>Brachiaria</i> seed physiological quality by discriminating the high and low vigor seeds. A 2<sup>3</sup> factorial design was used to optimize the LIBS ex...

Full description

Bibliographic Details
Main Authors: Guilherme Cioccia, Carla Pereira de Morais, Diego Victor Babos, Débora Marcondes Bastos Pereira Milori, Charline Z. Alves, Cícero Cena, Gustavo Nicolodelli, Bruno S. Marangoni
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Sensors
Subjects:
LIBS
machine learning
design of experiments
discriminating
brachiaria seed
Online Access:https://www.mdpi.com/1424-8220/22/14/5067

Internet

https://www.mdpi.com/1424-8220/22/14/5067

Similar Items