Corpus ID: 214802105

Hyper-spectral NIR and MIR data and optimal wavebands for detecting of apple tree diseases

@article{Shadrin2020HyperspectralNA,
  title={Hyper-spectral NIR and MIR data and optimal wavebands for detecting of apple tree diseases},
  author={Dmitrii G. Shadrin and Mariia Pukalchik and Anastasia Uryasheva and Evgeny Tsykunov and Grigoriy A. Yashin and Nikita Rodichenko and Dzmitry Tsetserukou},
  journal={ArXiv},
  year={2020},
  volume={abs/2004.02325}
}
  • Dmitrii G. Shadrin, Mariia Pukalchik, +4 authors Dzmitry Tsetserukou
  • Published 2020
  • Computer Science
  • ArXiv
  • Plant diseases can lead to dramatic losses in yield and quality of food, becoming a problem of high priority for farmers. Apple scab, moniliasis, and powdery mildew are the most significant apple tree diseases worldwide and may cause between 50% and 60% in yield losses annually; they are controlled by fungicide use with huge financial and time expenses. This research proposes a modern approach for analyzing the spectral data in Near-Infrared and Mid-Infrared ranges of the apple tree diseases at… CONTINUE READING

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