UAV imagery data and machine learning: A driving merger for predictive analysis of qualitative yield in sugarcane

UAV imagery data and machine learning: A driving merger for predictive analysis of qualitative yield in sugarcane

Predicting sugarcane yield by quality allows stakeholders from research centers to industries to decide on the precise time and place to harvest a product on the field; hence, it can streamline workflow while leveling up the cost-effectiveness of full-scale production. °Brix and Purity can offer sig...

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Bibliographic Details
Main Authors: Marcelo Rodrigues Barbosa Júnior, Bruno Rafael de Almeida Moreira, Romário Porto de Oliveira, Luciano Shozo Shiratsuchi, Rouverson Pereira da Silva
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-01-01
Series:Frontiers in Plant Science
Subjects:
remote sensing
brix
sucrose
ripening
Saccharum spp.
smart harvest
Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2023.1114852/full

Internet

https://www.frontiersin.org/articles/10.3389/fpls.2023.1114852/full

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