Detection of Planting Systems in Olive Groves Based on Open-Source, High-Resolution Images and Convolutional Neural Networks

Detection of Planting Systems in Olive Groves Based on Open-Source, High-Resolution Images and Convolutional Neural Networks

This paper aims to evaluate whether an automatic analysis with deep learning convolutional neural networks techniques offer the ability to efficiently identify olive groves with different intensification patterns by using very high-resolution aerial orthophotographs. First, a sub-image crop classifi...

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Bibliographic Details
Main Authors: Cristina Martínez-Ruedas, Samuel Yanes-Luis, Juan Manuel Díaz-Cabrera, Daniel Gutiérrez-Reina, Rafael Linares-Burgos, Isabel Luisa Castillejo-González
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Agronomy
Subjects:
canopy
convolutional neural network
deep learning
fraction canopy cover (FCC)
image analysis
olive groves
Online Access:https://www.mdpi.com/2073-4395/12/11/2700

Internet

https://www.mdpi.com/2073-4395/12/11/2700

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