An implementation and analysis of deep learning models for the detection of wheat diseases

An implementation and analysis of deep learning models for the detection of wheat diseases

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023.

Manylion Llyfryddiaeth
Prif Awduron:	Zubair, Ahmad, Keya, Sharmin Akter, Shailee, Tasnia Zarin, Lenin, Syed Mahathir Md, Nandi, Dhruba
Awduron Eraill:	Hossain, Muhammad Iqbal
Fformat:	Traethawd Ymchwil
Iaith:	English
Cyhoeddwyd:	Brac University 2024
Pynciau:	Deep learning Machine learning Wheat diseases Prediction Vision transformer Data mining
Mynediad Ar-lein:	http://hdl.handle.net/10361/23611

Eitemau Tebyg

Implementing machine learning techniques to forecast floods In Bangladesh based on historical data
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Machine learning as an indicator for breast cancer prediction
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Detection of fake identities on twitter using supervised machine learning
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An interpretable transformer based approach to classify Malaria from blood cell images
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Use of machine learning and weather predictions to bridge the gap between consumer demands and the market requirements of food crops
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A modern technique to detect potholes by Computer Vision and Deep Learning
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Application of CNN based architectures in detection of distracted drivers
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Predicting climate induced floods using machine learning
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A machine learning approach to detect depression and anxiety using supervised learning
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Emotion analysis using machine learning model and deep learning model on DEAP dataset
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An efficient deep learning approach to classify white blood cells
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Hypothesizing precise cancer treatments based on patient survival using machine learning & deep learning
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Analysis of deep learning models on low-light pest detection
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Smart companion agent for mental well-being through Deep Learning and NLP
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Predicting the outcome of purchasing a hotel package to assist policymakers using machine learning
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A deep learning approach to predict crypto-currency price by evaluating sentiment and stock market correlations
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Weather Pattern Extraction using Statistical Methods & Machine Learning Techniques
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Investigation assistant with suspect anticipating intelligence
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Developing a machine learning based prognostic model and a supporting web-based application for predicting the possibility of early diabetes and diabetic kidney disease
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Demystifying second hand car market in Bangladesh using multimodal machine learning techniques
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Classification and Explanation of Different Internet of Things (IoT) Network Attacks using Machine Learning, Deep Learning and XAI
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Weather forecasting using Deep Learning
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Using deep learning algorithms to detect violent activities
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Stock price prediction
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A hybrid deep learning model and explainable AI-based Bengali hate speech multi-label classification and interpretation
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Predicting depression in Bangladeshi undergraduates using machine learning
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Aspect based opinion mining on restaurant reviews
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Crop prediction based on geographical and climatic data using machine learning and deep learning
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Corn leaf disease detection using deep convolution neural network
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Multimodal human detection in disaster situations using deep learning & artificial intelligence
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Deep learning approaches for Bengali cyberbullying cetection on social media: a comparative study of BiLSTM, BiGRU and BERT models
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Yield prediction for precision agriculture using extreme gradient boosting and support vector regression
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Cyhoeddwyd: (2021)

Heart disease prediction using machine learning algorithms
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Cyhoeddwyd: (2019)

A machine learning approach to detect DeepFake videos
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A counseling system to predict the study path for freshmen
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Detecting propagandistic poster title: a machine learning approach
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Analysis of the impact of online education using EEG signals and machine learning algorithms
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Cyhoeddwyd: (2021)

Chronic kidney disease detection using ensemble classi ers and feature set reduction
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Cyhoeddwyd: (2019)

Public vehicle ETA system using machine learning
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Cyhoeddwyd: (2018)