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Agricultural plant cataloging and establishment of a data framework from UAV-based crop images by computer vision.

Maurice GünderFacundo R Ispizua YamatiJana KierdorfRibana RoscherAnne-Katrin MahleinChristian Bauckhage
Published in: GigaScience (2022)
The presented approach improves analysis and interpretation of UAV data in agriculture significantly. By validation with some reference data, our method shows an accuracy that is similar to more complex deep learning-based recognition techniques. Our workflow is able to automatize plant cataloging and training image extraction, especially for large datasets.
Keyphrases
  • deep learning
  • electronic health record
  • climate change
  • big data
  • artificial intelligence
  • convolutional neural network
  • machine learning
  • risk assessment
  • data analysis
  • heavy metals
  • cell wall