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Browsing Project Report by Subject "Image Classification"

Browsing Project Report by Subject "Image Classification"

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  • An advanced deep learning approach for cat breed classification 
    Das, Tanni; Rumu, Rumanna Aktar (Daffodil International University, 2024-07-13)
    In this paper, an improved deep learning method is proposed to recognize the cat breeds with high accuracy and high CNN structures. The dataset, sourced from Kaggle, comprises 2,557 labeled images across four distinct ...
  • Bangladeshi Dessert Identification Using Deep Learning Approach 
    Hasan, Jahid (Daffodil International University, 2024-07-13)
    In the area of culinary culture, the classification of desserts provides a fascinating problem, particularly due to the complicated nature and vast assortment of dessert styles found throughout many regions. This work ...
  • Betel Leaf Disease Detection Using Deep Learning 
    Rizon, Md. Razoun Islam; Mitul, Md Shahed Hasa (Daffodil International University, 2025-09-16)
    Betel leaf is a crop of economic importance in South Asia and field diagnosis is slow, subjective and constrained by the availability of expert opinion of the foliar disease. This thesis constructs and analyze an effective ...
  • Deep Learning Approaches for Jute Leaf Disease Detection Using CNN Models Final Year Design Project 
    Biswas, Ushno Pabitro; Bulbul, Md. Aminul Islam (Daffodil International University, 2025-09-17)
    One of the major cash crops in Bangladesh is jute, which is crucial for the economy and supports millions of farmers. However, jute production often faces the risk of various leaf diseases, resulting in decreased yield and ...
  • A Deep Learning-Based Approach for Zea Mays Leaf Disease Classification 
    Ripon, Wali Ullah (Daffodil International University, 2024-07-24)
    Plant diseases are the leading cause of lost agricultural productivity. Most farmers have difficulties in managing and identifying plant infections. Thus, early diagnosis of these diseases would be beneficial for farmers ...
  • Detecting Bangladeshi flowers and its classifications from image using CNN 
    Fariha, Tahmina Tabassom; Tipu, Md.Atikul Islam (Daffodil International University, 2024-08-24)
    Image processing has been one of the most practiced features of digitalization and it has enormous role in different sectors of our life. Convolutional Neural Network (CNN) has made image processing and other mechanism ...
  • Detection of tomato leaves disease using CNN deep learning 
    Shalauddin, Md. (Daffodil International University, 2024-01-24)
    The output of tomatoes has increased in Bangladesh in the past few years. In addition to its nutritional benefits, tomato cultivation is important for the employment of many people. However, several illnesses that affect ...
  • Dragon fruits quality grading system using machine learning approach 
    Rakib, Md. (Daffodil International University, 2025-09-14)
    Dragon fruit production has gained popularity in Bangladesh's agricultural sector in recent years because of its high economic worth and health advantages. Dragon fruit quality grading is still done by hand, which is ...
  • Enhancing diagnostic precision: 
    Al Maruf, Abdullah (Daffodil International University, 2024-01-26)
    The accurate and timely analysis of blood cell images plays a crucial role in disease diagnosis and monitoring. This research looks into the segmentation and classification of white blood cells using machine learning ...
  • Enhancing diagnostic precision: machine learning for blood cell image classification 
    Al Maruf, Abdullah (Daffodil International University, 2024-01-25)
    The accurate and timely analysis of blood cell images plays a crucial role in disease diagnosis and monitoring. This research looks into the segmentation and classification of white blood cells using machine learning ...
  • An explainable graph-based approach to agriculture crop disease identification 
    Hosen, Md Jabed (Daffodil International University, 2024-07-13)
    Accurate identification of pests and crop diseases is crucial for modern agriculture and the preservation of the environment. This paper presents G-AgriNet, a state-of-the-art automated system developed specifically for ...
  • Fishnet28: 
    Dey, Arnob; Hasan, Saied (Daffodil International University, 2024-07-15)
    As urbanization advances, technological integration has become a necessity for the sustainable management of diverse ecosystems, where the fish world or the aquatic realm is no exception. This study introduces "FishNet28," ...
  • Fruit and vegetable Freshness Detection A Deep Learning Solution For A Growing Problem 
    Pasha, Md. Nuruzzman; Tahsin, Tishun (Daffodil International University, 2024-07-13)
    The increasing demand for fresh and nutritious produce has led to a critical need for innovative solutions in the agricultural industry. This project develops a deep learning solution to handle the problem of guaranteeing ...
  • Guava Leaf Disease Detection in Bangladesh Using Deep Learning 
    Uddin, Md. Moyen (Daffodil International University, 2025-09-17)
    Guava is a tropical fruit that is both nutritious and economically valuable, and it is widely grown in tropical and subtropical regions. However, its production is often affected by serious diseases such as Red Rust and ...
  • The impact of digital technology addiction on mental health and well-being 
    Raihan, Md. Mahmudul Hasan (Daffodil International University, 2024-07-15)
    Addiction to digital technology has become a major issue in modern culture, affecting mental health and wellbeing in a variety of intricate ways. On the one hand, excessive screen time and technology use can cause a ...
  • Indoor plant classification using deep learning techniques 
    Kashem, Riajul (Daffodil International University, 2024-07-13)
    The plants interior spaces are used to improve the quality of indoor air and looks; however, identification of specific plant species is a complex process. This paper discusses an attempt towards categorization of indoor ...
  • Lemon disease classification using CNN-based architectures 
    Zohura, Mst. Fatematuz (Daffodil International University, 2024-01-23)
    The focus of my study, "Lemon disease classification using CNN-based architecture," is image-based disease detection. Significant progress has been achieved in image processing, and artificial intelligence and its uses ...
  • Lemon leaf chemical feature extraction over categorical images using Neural Network 
    Islam, Md Nahidul (Daffodil International University, 2024-07-14)
    This paper convolutional neural networks (CNNs) have shown great promise for the categorization and chemical feature extraction of lemon leaves, among other agricultural applications. This paper investigates the use of ...
  • Popular Food Spices Classification of Bangladesh Using Transfer Learning Approach 
    Rashme, Mahjabin Karim (2024-07-15)
    Classifying twenty distinct Spice varieties will be accomplished with the implementation of the transfer learning (TL) approach. Bengali cuisine is incredibly flavorful and aromatic, and the taste comes mainly due to the ...
  • Potato Leaf Disease Detection Using Deep Learning: Development of a Novel Model & Comparative Analysis with Existing Architectures 
    Ridoy, Al-Amin Gazi; Orny, Adiba Rahman (Daffodil International University, 2025-09-17)
    Potato is one of the most crucial food security crops to the world and its production in Bangladesh is a great input to the sustenance of the country as well as being a vital food source to the people. However, its ...

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