Cross-domain transfer learning for weed segmentation and mapping in precision farming using ground and UAV images

Author:

Gao JunfengORCID,Liao Wenzhi,Nuyttens David,Lootens Peter,Xue Wenxin,Alexandersson ErikORCID,Pieters JanORCID

Funder

Nordisk Ministerråd

Research England

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference47 articles.

1. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation;Badrinarayanan;IEEE Transactions on Pattern Analysis and Machine Intelligence,2017

2. Robot for weed species plant-specific management;Bawden;Journal of Field Robotics,2017

3. Spatial Quality Evaluation of Resampled Unmanned Aerial Vehicle-Imagery for Weed Mapping;Borra-Serrano;Sensors,2015

4. Real-time image processing for crop / weed discrimination in maize fields;Burgos-artizzu;Computers and Electronics in Agriculture,2011

5. Agricultural robot dataset for plant classification, localization and mapping on sugar beet fields;Chebrolu;International Journal of Robotics Research,2017

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