Tomato Disease Recognition Using a Compact Convolutional Neural Network

The detection of diseases in tomatoes in advance and early intervention and treatment increase the production amount, efficiency, and quality, which will satisfy the consumer with a more affordable shelf price. Thus, the efforts of farmers waiting for harvests throughout the season are not wasted. I...

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Veröffentlicht in:	IEEE access 2022, Vol.10, p.77213-77224
Hauptverfasser:	Ozbilge, Emre, Ulukok, Mehtap Kose, Toygar, Onsen, Ozbilge, Ebru
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Computer architecture computer vision Convolutional neural networks Correlation coefficients data augmentation Deep learning Disease Diseases Image color analysis Machine learning Neural networks Performance enhancement Tomato disease classification Tomatoes Training transfer learning
Online-Zugang:	Volltext
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