Monitoring of Chestnut Trees Using Machine Learning Techniques Applied to UAV-Based Multispectral Data

Monitoring of Chestnut Trees Using Machine Learning Techniques Applied to UAV-Based Multispectral Data

Phytosanitary conditions can hamper the normal development of trees and significantly impact their yield. The phytosanitary condition of chestnut stands is usually evaluated by sampling trees followed by a statistical extrapolation process, making it a challenging task, as it is labor-intensive and...

Full description

Bibliographic Details
Main Authors: Luís Pádua, Pedro Marques, Luís Martins, António Sousa, Emanuel Peres, Joaquim J. Sousa
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Remote Sensing
Subjects:
unmanned aerial vehicles
<i>Castanea sativa</i>
multi-temporal data analysis
random forests
nutritional deficiencies
chestnut ink disease
Online Access:https://www.mdpi.com/2072-4292/12/18/3032

Internet

https://www.mdpi.com/2072-4292/12/18/3032

Similar Items