Automated Agave Detection and Counting Using a Convolutional Neural Network and Unmanned Aerial Systems

Automated Agave Detection and Counting Using a Convolutional Neural Network and Unmanned Aerial Systems

We present an automatic agave detection method for counting plants based on aerial data from a UAV (Unmanned Aerial Vehicle). Our objective is to autonomously count the number of agave plants in an area to aid management of the yield. An orthomosaic is obtained from agave plantations, which is then...

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Bibliographic Details
Main Authors: Donovan Flores, Iván González-Hernández, Rogelio Lozano, Jesus Manuel Vazquez-Nicolas, Jorge Luis Hernandez Toral
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Drones
Subjects:
precision agriculture
plant detection
monitoring
deep learning
counting
Online Access:https://www.mdpi.com/2504-446X/5/1/4

Internet

https://www.mdpi.com/2504-446X/5/1/4

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