Optimized Deep Learning Model as a Basis for Fast UAV Mapping of Weed Species in Winter Wheat Crops

Optimized Deep Learning Model as a Basis for Fast UAV Mapping of Weed Species in Winter Wheat Crops

Weed maps should be available quickly, reliably, and with high detail to be useful for site-specific management in crop protection and to promote more sustainable agriculture by reducing pesticide use. Here, the optimization of a deep residual convolutional neural network (ResNet-18) for the classif...

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Bibliographic Details
Main Authors: Tibor de Camargo, Michael Schirrmann, Niels Landwehr, Karl-Heinz Dammer, Michael Pflanz
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Remote Sensing
Subjects:
ResNet
deep residual networks
UAV imagery
embedded systems
crop monitoring
image classification
Online Access:https://www.mdpi.com/2072-4292/13/9/1704

Internet

https://www.mdpi.com/2072-4292/13/9/1704

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