513 citations · 2.8k across the 104 of their papers we have counts for
5 papers · 1 filter
Geometrical Stem Detection from Image Data for Precision Agriculture
F. Langer, L. Mandtler, A. Milioto +2
High efficiency in precision farming depends on accurate tools to perform weed detection and mapping of crops. This allows for precise removal of harmful weeds with a lower amount…
WeedMap: A large-scale semantic weed mapping framework using aerial multispectral imaging and deep neural network for precision farming
Inkyu Sa, Marija Popovic, Raghav Khanna +7
We present a novel weed segmentation and mapping framework that processes multispectral images obtained from an unmanned aerial vehicle (UAV) using a deep neural network (DNN). Mos…
Joint Stem Detection and Crop-Weed Classification for Plant-specific Treatment in Precision Farming
Philipp Lottes, Jens Behley, Nived Chebrolu +2
Applying agrochemicals is the default procedure for conventional weed control in crop production, but has negative impacts on the environment. Robots have the potential to treat ev…
Fully Convolutional Networks with Sequential Information for Robust Crop and Weed Detection in Precision Farming
Philipp Lottes, Jens Behley, Andres Milioto +1
Reducing the use of agrochemicals is an important component towards sustainable agriculture. Robots that can perform targeted weed control offer the potential to contribute to this…
Bonnet: An Open-Source Training and Deployment Framework for Semantic Segmentation in Robotics using CNNs
Andres Milioto, Cyrill Stachniss
The ability to interpret a scene is an important capability for a robot that is supposed to interact with its environment. The knowledge of what is in front of the robot is, for ex…