Using image augmentation techniques and convolutional neural networks to identify insect infestations on tomatoes

Using image augmentation techniques and convolutional neural networks to identify insect infestations on tomatoes

Pest insects are a danger to both regional and global food security. In Jordan, the most productive crop is tomato. Jordan's agriculture output is threatened by insect infestations. The study intends to use a deep learning model called convolutional neural networks on a dataset that includes ei...

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Bibliographic Details
Main Authors: Moy'awiah Al-Shannaq, Shahed N. Alkhateeb, Mohammad Wedyan
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Heliyon
Subjects:
Agriculture
Crop disease
New technologies
Augmented reality
Deep learning
Convolutional neural networks
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844024175111
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