Apple Defect Detection Based on Deep Convolutional Neural Network

Nur Alam; Shahi Saugat; Dahit Santosh; Mohammad Ibrahim Sarkar; Ahmed Abdulhakim Al-Absi

doi:10.1007/978-981-15-7990-5_21

ScienceGate Book Chapters

BOOK-CHAPTER

Apple Defect Detection Based on Deep Convolutional Neural Network

Nur Alam Shahi Saugat Dahit Santosh Mohammad Ibrahim Sarkar Ahmed Abdulhakim Al-Absi

Year: 2020 Lecture notes in networks and systems Pages: 215-223 Publisher: Springer International Publishing

DOI: 10.1007/978-981-15-7990-5_21

Get Full-Text PDF Get Analytical Report

Keywords:

Convolutional neural network Artificial intelligence Computer science Deep learning Object detection Initialization Classifier (UML) Categorization Artificial neural network Pattern recognition (psychology) Process (computing) Machine learning

Metrics

Cited By

2.94

FWCI (Field Weighted Citation Impact)

Refs

0.92

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Smart Agriculture and AI

Life Sciences → Agricultural and Biological Sciences → Plant Science

Spectroscopy and Chemometric Analyses

Physical Sciences → Chemistry → Analytical Chemistry

Industrial Vision Systems and Defect Detection

Physical Sciences → Engineering → Industrial and Manufacturing Engineering

Apple Defect Detection Based on Deep Convolutional Neural Network

Metrics

Citation History

Topics

Related Documents

Apple Defect Detection Method Based on Convolutional Neural Network

Fabric Defect Detection Using Deep Convolutional Neural Network

Apple Leaf Disease Detection using Deep Learning-based Convolutional Neural Network

Deep Convolutional Neural Network-based Framework for Apple Leaves Disease Detection

Battery Panel Defect Detection Method Based on Deep Convolutional Neural Network