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.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς:	Shil, Prantha, Rahman, Zisanur, Bin Jalil, Jawad, Bin Sakib, Kazi Rishad, Hossain, Md. Tamim
Άλλοι συγγραφείς:	Uddin, Dr. Jia
Μορφή:	Thesis
Γλώσσα:	English
Έκδοση:	Brac University 2023
Θέματα:	CNN VGG19 Deep Learning Fruit Freshness Regression Image Recognition Keras application. Optical data processing. Artificial intelligence.
Διαθέσιμο Online:	http://hdl.handle.net/10361/17929

Παρόμοια τεκμήρια

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

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Microbiology of fresh produce /
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Fresh Graduate’s interest on doing job at Bangladesh Bank
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Minimally segmenting performance Bangla optical character recognition using Kohonen network
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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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Intelligent Character Recognition system for visually impaired people
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An efficient deep learning approach to predict heart failure from image data using ejection fraction
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Bangla character recognition for Android devices
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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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Deep Learning based Medicinal Plants Leaf Recognition
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Critical retinal disease detection from optical coherence tomography images by deep convolutional neural network and explainable machine learning
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Traffic sign recognition using deep learning
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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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Recognising license plate from image data using deep learning
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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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