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Ultra-High-Resolution UAV-Based Detection of Alternaria solani Infections in Potato Fields

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اقرأ أكثر حفظ في قائمتي

المؤلفون: van de Vijver, Ruben; Mertens, Koen; Heungens, Kurt; Nuyttens, David; Wieme, Jana; Maes, Wouter H.; Van Beek, Jonathan; Somers, Ben; Saeys, Wouter
المصدر:
ISSN:2072-4292 ; Remote Sensing, vol. 14 (24), Art.No. ARTN 6232.
الموضوع:
Science & Technology; Life Sciences & Biomedicine; Physical Sciences; Technology; Environmental Sciences; Geosciences; Multidisciplinary; Remote Sensing; Imaging Science & Photographic Technology; Environmental Sciences & Ecology; Geology; deep learning; drones; potato crops; precision farming; supervised; U-Net; PLANT-DISEASE DETECTION; EARLY BLIGHT; SENSORS; 0203 Classical Physics; 0406 Physical Geography and Environmental Geoscience; 0909 Geomatic Engineering; 3701 Atmospheric sciences; 3709 Physical geography and environmental geoscience; 4013 Geomatic engineering
نوع التسجيلة:
article in journal/newspaper
اللغة:
English

معلومة اضافية
- بيانات النشر:
  Multidisciplinary Digital Publishing Institute (MDPI)
- الموضوع:
  2022
- نبذة مختصرة :
  status: Published
- File Description:
  application/pdf
- Relation:
  https://lirias.kuleuven.be/handle/20.500.12942/714590; https://lirias.kuleuven.be/retrieve/703311; https://doi.org/10.3390/rs14246232
- الرقم المعرف:
  10.3390/rs14246232
- الدخول الالكتروني :
  https://lirias.kuleuven.be/handle/20.500.12942/714590
  https://hdl.handle.net/20.500.12942/714590
  https://lirias.kuleuven.be/retrieve/703311
  https://doi.org/10.3390/rs14246232
- Rights:
  info:eu-repo/semantics/openAccess ; public ; https://creativecommons.org/licenses/by/4.0/
- الرقم المعرف:
  edsbas.7A6A2D61

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