Smart automated fruit freshness recognition system using image processing and deep learning

Smart automated fruit freshness recognition system using image processing and deep learning

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022.

Manylion Llyfryddiaeth
Prif Awduron:	Shil, Prantha, Rahman, Zisanur, Bin Jalil, Jawad, Bin Sakib, Kazi Rishad, Hossain, Md. Tamim
Awduron Eraill:	Uddin, Dr. Jia
Fformat:	Traethawd Ymchwil
Iaith:	English
Cyhoeddwyd:	Brac University 2023
Pynciau:	CNN VGG19 Deep Learning Fruit Freshness Regression Image Recognition Keras application. Optical data processing. Artificial intelligence.
Mynediad Ar-lein:	http://hdl.handle.net/10361/17929

Eitemau Tebyg

Fruit and vegetable freshness detection using deep learning
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Cyhoeddwyd: (2023)

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Customer satisfaction of Direct Fresh Ltd.
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Online shopping experience & customer satisfaction of Direct Fresh Ltd.
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Study on human emotion based on facial expressions through human machine communication
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Detection of Parkinson’s disease from Neuro-imagery using deep neural network with transfer learning
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Isolation and identification of microbes from various fruit juices made and sold for immediate consumption at home and in the market of Dhaka city
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Detection and recognition of Bangladeshi fishes using surf features and CNN classifier
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Implementation of tactical strategy to change consumer perception of Fresh Milk Powder
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An efficient deep learning approach to detect retinal disease using optical coherence tomographic images
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Determination of isolation & antibiotic susceptibility pattern of Salmonella spp. from fresh vegetables collected from local markets of Dhaka city
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An efficient approach to detect melanoma skin cancer using a custom CNN model
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Antibiogram patterns of staphylococcus aureus obtained from packaged meat, milk and milk products, fruits and vegetables of various supermarkets in Dhaka city
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Anomalous behavior detection using Spatio temporal Feature and 3D CNN model for Surveillance
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An efficient deep learning approach for 3D face detection using multiple angular 2D images
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A deep face-mask detection model using DenseNet169 and image processing techniques
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Accurate analysis of mood detection using eye-images rather than facial expression recognition (FER)
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