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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Vydané v:	IET image processing Ročník 15; číslo 10; s. 2157 - 2168
Hlavní autori:	Rehman, Zia ur, Khan, Muhammad Attique, Ahmed, Fawad, Damaševičius, Robertas, Naqvi, Syed Rameez, Nisar, Wasif, Javed, Kashif
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Wiley 01.08.2021
Predmet:	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
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