Use of Images Obtained by Remotely Piloted Aircraft and Random Forest for the Detection of Leaf Miner (<i>Leucoptera coffeella</i>) in Newly Planted Coffee Trees

Use of Images Obtained by Remotely Piloted Aircraft and Random Forest for the Detection of Leaf Miner (<i>Leucoptera coffeella</i>) in Newly Planted Coffee Trees

Brazil is the largest producer and exporter of coffee beans in the world. Given this relevance, it is important to monitor the crop to prevent attacks by pests. This study aimed to detect leaf miner (<i>Leucoptera coffeella</i>) infestation in a newly planted crop based on vegetation ind...

Ausführliche Beschreibung

Bibliographische Detailangaben
Hauptverfasser: Luana Mendes dos Santos, Gabriel Araújo e Silva Ferraz, Nicole Lopes Bento, Diego Bedin Marin, Giuseppe Rossi, Gianluca Bambi, Leonardo Conti
Format: Artikel
Sprache:English
Veröffentlicht: MDPI AG 2024-02-01
Schriftenreihe:Remote Sensing
Schlagworte:
unmanned aircraft systems
vegetation index
<i>Coffea arabica</i>
multispectral
artificial intelligence
Online Zugang:https://www.mdpi.com/2072-4292/16/4/728

Online

https://www.mdpi.com/2072-4292/16/4/728

Ähnliche Einträge