Classification of Avocado Using Deep Learning

dc.contributor.author	Abu Alqumboz, Mohammed N.
dc.date.accessioned	2020-02-14T15:16:05Z
dc.date.available	2020-02-14T15:16:05Z
dc.date.issued	2020
dc.identifier.uri	http://dspace.alazhar.edu.ps/xmlui/handle/123456789/563
dc.description.abstract	Avocado is the fruit of the avocado tree, scientifically known as Persia Americana. This fruit is prized for its high nutrient value and is added to various dishes due to its good flavor and rich texture. It is the main ingredient in guacamole. These days, the avocado has become an incredibly popular food among health-conscious individuals. It’s often referred to as a superfood, which is not surprising given its health properties. Using a public dataset of 1,234 images of Avocado collected under controlled conditions, we trained a deep convolutional neural network to identify tow type of avocado. The trained model achieved an accuracy of 99.84% on a held-out test set, demonstrating the feasibility of this approach. Overall, the approach of training deep learning models on increasingly large and publicly available image datasets presents a clear path toward types of avocado.	en_US
dc.language.iso	en_US	en_US
dc.subject	Deep Learning	en_US
dc.subject	Artificial Intelligence	en_US
dc.subject	Avocado	en_US
dc.title	Classification of Avocado Using Deep Learning	en_US
dc.type	Article	en_US