WeedMap: A large-scale semantic weed mapping framework using aerial multispectral imaging and deep neural network for precision farming

31 July 2018

Roland Siegwart

Papers citing "WeedMap: A large-scale semantic weed mapping framework using aerial multispectral imaging and deep neural network for precision farming"

21 / 21 papers shown

Title
Multispectral Remote Sensing for Weed Detection in West Australian Agricultural Lands Haitian Wang Muhammad Ibrahim Yumeng Miao D ustin Severtson A. Mansoor Ajmal Mian 198 0 0 12 Feb 2025
Deep learning in agriculture: A survey A. Kamilaris F. Prenafeta-Boldú 73 3,005 0 31 Jul 2018
Fully Convolutional Networks with Sequential Information for Robust Crop and Weed Detection in Precision Farming Philipp Lottes Jens Behley Andres Milioto C. Stachniss 44 204 0 09 Jun 2018
The Effectiveness of Data Augmentation in Image Classification using Deep Learning Luis Perez Jason Wang 80 2,788 0 13 Dec 2017
H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes Xiaomeng Li Hao Chen Xiaojuan Qi Qi Dou Chi-Wing Fu Pheng Ann Heng 62 101 0 21 Sep 2017
Real-time Semantic Segmentation of Crop and Weed for Precision Agriculture Robots Leveraging Background Knowledge in CNNs Andres Milioto Philipp Lottes C. Stachniss 46 368 0 20 Sep 2017
weedNet: Dense Semantic Weed Classification Using Multispectral Images and MAV for Smart Farming Inkyu Sa Zetao Chen Marija Popović R. Khanna F. Liebisch Juan I. Nieto Roland Siegwart 50 267 0 11 Sep 2017
A Review on Deep Learning Techniques Applied to Semantic Segmentation Alberto Garcia-Garcia Sergio Orts Sergiu Oprea Victor Villena-Martinez Jose Garcia-Rodriguez 3DV SSeg 104 1,278 0 22 Apr 2017
Algorithms for Semantic Segmentation of Multispectral Remote Sensing Imagery using Deep Learning Ronald Kemker C. Salvaggio Christopher Kanan 64 460 0 19 Mar 2017
Automatic Model Based Dataset Generation for Fast and Accurate Crop and Weeds Detection M. D. Cicco Ciro Potena Giorgio Grisetti Alberto Pretto 53 124 0 09 Dec 2016
Understanding data augmentation for classification: when to warp? S. Wong Adam Gatt V. Stamatescu Mark D Mcdonnell 80 904 0 28 Sep 2016
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation Adam Paszke Abhishek Chaurasia Sangpil Kim Eugenio Culurciello SSeg 315 2,080 0 07 Jun 2016
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs Liang-Chieh Chen George Papandreou Iasonas Kokkinos Kevin Patrick Murphy Alan Yuille SSeg 242 18,232 0 02 Jun 2016
Fully Convolutional Networks for Semantic Segmentation Evan Shelhamer Jonathan Long Trevor Darrell VOS SSeg 738 37,846 0 20 May 2016
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 878 27,358 0 02 Dec 2015
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 1.1K 15,798 0 02 Nov 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.8K 77,133 0 18 May 2015
BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation Jifeng Dai Kaiming He Jian Sun 185 1,045 0 05 Mar 2015
Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture David Eigen Rob Fergus VLM MDE 207 2,679 0 18 Nov 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.6K 100,348 0 04 Sep 2014
Rich feature hierarchies for accurate object detection and semantic segmentation Ross B. Girshick Jeff Donahue Trevor Darrell Jitendra Malik ObjD 289 26,186 0 11 Nov 2013