Recognizing apple leaf diseases using a novel parallel real‐time processing framework based on MASK RCNN and transfer learning: An application for smart agriculture

Effective recognition of fruit leaf diseases has a substantial impact on agro‐based economies. Several fruit diseases exist that badly impact the yield and quality of fruits. A naked‐eye inspection of an infected region is a difficult and tedious process; therefore, it is required to have an automat...

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Veröffentlicht in:	IET image processing Jg. 15; H. 10; S. 2157 - 2168
Hauptverfasser:	Rehman, Zia ur, Khan, Muhammad Attique, Ahmed, Fawad, Damaševičius, Robertas, Naqvi, Syed Rameez, Nisar, Wasif, Javed, Kashif
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Wiley 01.08.2021
Schlagworte:	Agriculture Computer vision and image processing techniques Optical, image and video signal processing Other topics in statistics Products and commodities
ISSN:	1751-9659, 1751-9667
Online-Zugang:	Volltext
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