Assessment of Texture Features for Bermudagrass (<i>Cynodon dactylon</i>) Detection in Sugarcane Plantations

Assessment of Texture Features for Bermudagrass (<i>Cynodon dactylon</i>) Detection in Sugarcane Plantations

Sugarcane products contribute significantly to the Brazilian economy, generating U.S. $12.2 billion in revenue in 2018. Identifying and monitoring factors that induce yield reduction, such as weed occurrence, is thus imperative. The detection of Bermudagrass in sugarcane crops using remote sensing d...

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Bibliographic Details
Main Authors: Cesare Di Girolamo-Neto, Ieda Del’Arco Sanches, Alana Kasahara Neves, Victor Hugo Rohden Prudente, Thales Sehn Körting, Michelle Cristina Araujo Picoli, Luiz Eduardo Oliveira e Cruz de Aragão
Format: Article
Language:English
Published: MDPI AG 2019-04-01
Series:Drones
Subjects:
remote sensing
classification
agriculture
weed detection
UAV images
Online Access:https://www.mdpi.com/2504-446X/3/2/36

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