Tomato crop disease classification using pre-trained deep learning algorithm

The wide scale prevalence of diseases in tomato crop affects the production quality and quantity. In order to counteract the problem early diagnosis of diseases using a fast reliable nondestructive method will benefit the farmers. In this study images of tomato leaves (6 diseases and a healthy class...

Celý popis

Podrobná bibliografia

Vydané v:	Procedia computer science Ročník 133; s. 1040 - 1047
Hlavní autori:	Rangarajan, Aravind Krishnaswamy, Purushothaman, Raja, Ramesh, Aniirudh
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 2018
Predmet:	AlexNet bias learning rate deep learning minibatch size Tomato disease recoginition VGG16 net weight learning rate deep learning minibatch size bias learning rate weight learning rate Tomato disease recoginition AlexNet VGG16 net
ISSN:	1877-0509, 1877-0509
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!