Fig Plant Segmentation from Aerial Images Using a Deep Convolutional Encoder-Decoder Network

Fig Plant Segmentation from Aerial Images Using a Deep Convolutional Encoder-Decoder Network

Crop segmentation is an important task in Precision Agriculture, where the use of aerial robots with an on-board camera has contributed to the development of new solution alternatives. We address the problem of fig plant segmentation in top-view RGB (Red-Green-Blue) images of a crop grown under open...

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Bibliographic Details
Main Authors: J. Fuentes-Pacheco, J. Torres-Olivares, E. Roman-Rangel, S. Cervantes, P. Juarez-Lopez, J. Hermosillo-Valadez, J.M. Rendón-Mancha
Format: Article
Language:English
Published: MDPI AG 2019-05-01
Series:Remote Sensing
Subjects:
convolutional neural network
crop segmentation
<i>Ficus carica</i>
unmanned aerial vehicles
Online Access:https://www.mdpi.com/2072-4292/11/10/1157

Internet

https://www.mdpi.com/2072-4292/11/10/1157

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