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Philipp Lottes

6 papers hereh-index 213.1k citations22 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author4

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cs.RO3

identity via Semantic Scholar / OpenAlex

activity
20172019
most citedFully Convolutional Networks with Sequential Information for Robust Crop and Weed Detection in Precision Farming

285 citations · 427 across the 5 of their papers we have counts for

collaborators
Showing 2018Show all

3 papers · 1 filter

cs.RO2018

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…

cs.CV2018★ 3 cited

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…

cs.CV2018★ 285 cited

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…

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