Leveraging deep learning algorithms for the timely detection of diseases in bean leaves

Leveraging deep learning algorithms for the timely detection of diseases in bean leaves

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2024.

Bibliografiska uppgifter
Huvudupphovsmän:	Fiona, Driciru, Denish, Ajani
Övriga upphovsmän:	Chakrabarty, Amitabha
Materialtyp:	Lärdomsprov
Språk:	English
Publicerad:	Brac University 2024
Ämnen:	Bean rust Angular leaf spot Convolutional neural network CNN Machine learning Deep learning Cognitive learning theory (Deep learning). Image processing. Leaves > Diseases > Diagnosis. Artificial intelligence.
Länkar:	http://hdl.handle.net/10361/23945

Liknande verk

Plant leaf disease identification
av: Hasan Mahin, Mohammad Rakibul, et al.
Publicerad: (2024)

An efficient deep learning approach to detect skin Cancer
av: Islam, Ashfaqul, et al.
Publicerad: (2022)

Classification of peripheral blood cell images using deep learning
av: Aadi, Oyshik Ahmed, et al.
Publicerad: (2024)

RetinalNet-500: a newly developed CNN model for eye disease detection
av: Toki, Sadikul Alim, et al.
Publicerad: (2023)

Deep learning based early Glaucoma detection
av: Islam, Aabrar, et al.
Publicerad: (2024)

Corn leaf disease detection using deep convolution neural network
av: Rabbi, Rawhatur, et al.
Publicerad: (2023)

Real-time mastitis detection in livestock using deep learning and machine learning leveraging edge devices
av: Ghosh, Kawshik Kumar, et al.
Publicerad: (2023)

An efficient deep learning approach to detect citrus leaves disease
av: Emon, Shaharear Hossain, et al.
Publicerad: (2024)

A modern technique to detect potholes by Computer Vision and Deep Learning
av: Saif, Muntasir Mahmud, et al.
Publicerad: (2023)

DeepWPD: A deep learning based wavelet packet decomposition to remove Moiré pattern from screen capture images.
av: Khan, Ibrahim
Publicerad: (2023)

Leveraging sequential deep learning models for detecting multitude of human action categories
av: Pranta, Kazi Al Refat, et al.
Publicerad: (2024)

A deep learning approach towards soft biometrics attributes prediction using CNN
av: Kibria, Maharab, et al.
Publicerad: (2022)

Deep learning-based waste classification system for efficient waste management
av: Nakib, Abdullah Al, et al.
Publicerad: (2022)

A comparative analysis of deep learning and hybrid models to diagnose multi-class skin cancer
av: Nawrin, Ishrat Nur, et al.
Publicerad: (2023)

Recall-Net: A CNN-based Model for Four-class Classification of Alzheimer’s Disease
av: Hasan, M. M. Kamrul, et al.
Publicerad: (2022)

An eﬃcient deep learning approach for detecting lung disease from chest X-ray images using transfer learning and ensemble modeling
av: Sagor, Mostofa Kamal, et al.
Publicerad: (2021)

Predicting crime using deep learning
av: Shihab, Muhammad Nafees, et al.
Publicerad: (2024)

Damaged road detection using Image Processing and Deep Learning
av: Swadesh, Shimran Mahbub, et al.
Publicerad: (2022)

Intracranial hemorrhage detection using CNN-LSTM fusion model
av: Ahmed, Kazi sabab, et al.
Publicerad: (2022)

Deep learning-based hybrid multi-task model for adrenocortical carcinoma segmentation and classification
av: Datta, Nirjhor, et al.
Publicerad: (2024)

Real time dynamic facial recognition of subject at motion using angular image
av: Tasneem, Sharah, et al.
Publicerad: (2024)

Diabetic retinopathy detection and classification by using deep learning
av: Hossain, Shahriar, et al.
Publicerad: (2022)

In-depth analysis of deep learning architectures for brain tumor classification in MRI scans
av: Haque, Hossain MD. Hasibul, et al.
Publicerad: (2024)

Deep Learning based Medicinal Plants Leaf Recognition
av: Mahalanabish, Tonusri
Publicerad: (2023)

Document template identification and data extraction using machine learning and deep learning approach
av: Roy, Kaushik, et al.
Publicerad: (2024)

Classification of respiratory diseases and COVID-19 from respiratory and cough sound using deep learning techniques
av: Ahasan, Md. Mubtasim, et al.
Publicerad: (2022)

Visual object classification from fMRI data
av: Newaz, Syed Mishar, et al.
Publicerad: (2022)

Skin cancer detection and classification using multiple optimized deep convolutional neural network
av: Sakir, Adnan, et al.
Publicerad: (2023)

Predicting regional accents of Bengali language using deep learning
av: Ibrahim, Md. Abu, et al.
Publicerad: (2022)

Yoga posture recognition using the deep learning process
av: Islam, Abidul, et al.
Publicerad: (2023)

Application of deep learning in MRI classification of Schizophrenia
av: Joyee, Ramisa Fariha, et al.
Publicerad: (2024)

Deep learning-based real-time pothole detection for avoiding road accident
av: Basher, Rafsan, et al.
Publicerad: (2022)

Classification of Bangla regional languages and recognition of artificial Bangla speech using deep learning
av: Hossain, Prommy Sultana
Publicerad: (2022)

Prostate cancer detection using deep learning neural network with transfer learning approach
av: Badhon, Ariful Islam Mahmud, et al.
Publicerad: (2022)

Automated detection of Malignant Lesions in the ovary using deep learning models and XAI
av: Ifty, Md. Hasin Sarwar, et al.
Publicerad: (2024)

Detection of alzheimer's disease using deep learning
av: Hasan, Mahmudul, et al.
Publicerad: (2021)

Bang-lish sentiment classification using deep learning
av: Saleheen, Abrar, et al.
Publicerad: (2023)

Detection and classification of Mango Leaf diseases utilizing convolutional neural network models
av: Ferdous, Md.Rubaiat, et al.
Publicerad: (2024)

Early stage detection and classification of colon cancer using deep learning and explainable AI on histopathological images
av: Hossain, Mainul, et al.
Publicerad: (2022)

Analysis of transformer and CNN based approaches for classifying renal abnormality from image data
av: Reza, S. M. Mushfiq, et al.
Publicerad: (2024)