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John Deere (United States)

United States

2 papers here9 citations across 2
fields
  • cs.CV1
  • cs.RO1
ROR 00t625d81OpenAlex

affiliations via OpenAlex

most citedProductive Crop Field Detection: A New Dataset and Deep Learning Benchmark Results

9 citations

researchers with a paper here
  • Ali Taghibakhshi1 · h 12
  • E. Nascimento1 · h 2
  • J. Almeida1 · h 22
  • John Just1 · h 5
  • Matthew West1 · h 38
  • Nathan Ogden1 · h 1
  • Tiago A. Almeida1 · h 4
collaborating institutions
  • John Deere (Germany)DE1 paper
  • Universidade Federal de São CarlosBR1 paper
  • University of Illinois Urbana-ChampaignUS1 paper

2 papers

cs.CV2023★ 9 cited

Productive Crop Field Detection: A New Dataset and Deep Learning Benchmark Results

Eduardo Nascimento, John Just, Jurandy Almeida +1

In precision agriculture, detecting productive crop fields is an essential practice that allows the farmer to evaluate operating performance separately and compare different seed v…

cs.RO2021

Local Navigation and Docking of an Autonomous Robot Mower using Reinforcement Learning and Computer Vision

Ali Taghibakhshi, Nathan Ogden, Matthew West

We demonstrate a successful navigation and docking control system for the John Deere Tango autonomous mower, using only a single camera as the input. This vision-only system is of…

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