Convolutional Neural Networks Using Enhanced Radiographs for Real-Time Detection of <i>Sitophilus zeamais </i>in Maize Grain

Convolutional Neural Networks Using Enhanced Radiographs for Real-Time Detection of <i>Sitophilus zeamais </i>in Maize Grain

The application of artificial intelligence (AI) such as deep learning in the quality control of grains has the potential to assist analysts in decision making and improving procedures. Advanced technologies based on X-ray imaging provide markedly easier ways to control insect infestation of stored p...

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Bibliographic Details
Main Authors: Clíssia Barboza da Silva, Alysson Alexander Naves Silva, Geovanny Barroso, Pedro Takao Yamamoto, Valter Arthur, Claudio Fabiano Motta Toledo, Thiago de Araújo Mastrangelo
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Foods
Subjects:
deep learning architectures
MobileNetV2
Xception
Inception-ResNet-v2
peripheral equalization
calcification emphasis
Online Access:https://www.mdpi.com/2304-8158/10/4/879

Internet

https://www.mdpi.com/2304-8158/10/4/879

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