Citrus leaf disease detection by image processing

Citrus leaf disease detection by image processing

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

Dettagli Bibliografici
Autori principali:	Chowdhury, Mahir Faisal, Nondi, Amit, Zaman, Fardin, Akhter, Sium Ibn, Pathan, Tanjina Bilma
Altri autori:	Karim, Dewan Ziaul
Natura:	Tesi
Lingua:	English
Pubblicazione:	Brac University 2024
Soggetti:	Deep learning CNN ResNet-50 VGG16 MobileNet-V2 InceptionResNet-V2 DenseNet-121 Machine learning Image processing > Congresses
Accesso online:	http://hdl.handle.net/10361/22781

Documenti analoghi

Detection of intracranial hemorrhage on CT scan images using convolutional neural network
di: Rahman, Afridi Ibn, et al.
Pubblicazione: (2022)

An efficient deep learning approach to detect retinal disease using optical coherence tomographic images
di: Khan, Farhan Sakib, et al.
Pubblicazione: (2022)

Multi-classification Network for Detecting Skin Diseases using Deep Learning and XAI
di: Athina, Fahima Hasan, et al.
Pubblicazione: (2022)

Prediction of glaucoma from fundus images leveraging transfer learning in deep neural network
di: Ismail, Sayem Mohammad, et al.
Pubblicazione: (2021)

A comparative study of lung cancer prediction using deep learning
di: Mugdho, Aka Mohammad, et al.
Pubblicazione: (2023)

Violent activity detection through surveillance camera using deep learning
di: Miah, Parvez, et al.
Pubblicazione: (2023)

Approaching transfer learning to identify correctly worn facial masks
di: Sadid, Tausif, et al.
Pubblicazione: (2021)

Alzheimer’s Disease detection and classification using transfer learning techniques and ensembling operations on convolutional neural networks
di: Awwal, Alvina, et al.
Pubblicazione: (2021)

Analyzing students’ concentration in online courses through Webcam
di: Asif, Md., et al.
Pubblicazione: (2024)

MalFam: a comprehensive study on malware families with state-of-the-art CNN architectures with classifications and XAI
di: Haque, Abid Hossain, et al.
Pubblicazione: (2024)

Detection of prodromal parkinson’s disease with fMRI data and deep neural network approaches
di: Shahriar, Farhan, et al.
Pubblicazione: (2021)

Detection of coronary artery blockage at an early stage using effective deep learning technique
di: Promit, Tahmid Ashrafee, et al.
Pubblicazione: (2023)

FoodieCal: a convolutional neural network based food detection and calorie estimation system
di: Mashraf, Chowdhury Zerif, et al.
Pubblicazione: (2021)

Covid-19 infected lung detection using machine learning
di: Islam, Md. Muntaha, et al.
Pubblicazione: (2022)

Skin disease detection and classification using deep learning
di: Shuvon, Mehedi Hasan, et al.
Pubblicazione: (2022)

CancerCare: A reliable and secured self-supervising and interactive system using deep learning
di: Khisa, Pushpakali, et al.
Pubblicazione: (2024)

Cassava leaf disease classification using deep learning and convolutional neural network ensemble
di: Shahriar, Hasan, et al.
Pubblicazione: (2022)

Tomato leaf disease detection using convolutional neural network
di: Hasan, Md. Riazul, et al.
Pubblicazione: (2023)

A deep learning approach for pneumonia classiﬁcation from chest X-Ray images with ensemble modelling and explainable AI
di: Akhter, Nasrin
Pubblicazione: (2023)

EAI4CC: deciphering lung and colon cancer categorization within a federated learning framework harnessing the power of explainable artificial intelligence
di: Mim, Ankhi Akter, et al.
Pubblicazione: (2024)

Skin cancer classification for seven types of skin lesions
di: Rahman, Md. Tawsifur, et al.
Pubblicazione: (2024)

An efficient face recognition model using multiple angular images and deep neural network architecture
di: Subah, Silma, et al.
Pubblicazione: (2024)

Non-clinical Covid19 diagnosis on CT-scan, Chest X-ray, and respiratory patterns using deep-learning and signal processing
di: Tasnim, Sadia, et al.
Pubblicazione: (2023)

Bone age comparison using convolutional neural network
di: Nawaz, Fariha, et al.
Pubblicazione: (2019)

Identifying brain abnormalities using image processing and CNN models
di: Talukder, Ismat Shehrin, et al.
Pubblicazione: (2021)

Explainable breast cancer detection from Histopathology images using transfer learning and XAI
di: Farabi, Farhan, et al.
Pubblicazione: (2023)

An interpretable deep learning approach to detect Alzheimer using MRI images
di: Oni, Farhan Anzum, et al.
Pubblicazione: (2023)

A hybrid FL-Enabled ensemble approach for lung disease diagnosis leveraging fusion of SWIN transformer and CNN
di: Chowdhury, Asif Hasan, et al.
Pubblicazione: (2023)

Unmasking malignancy of lung nodule using a modernized ConvNet toward the design of a vision transformer
di: Reza, Jamil Ur, et al.
Pubblicazione: (2023)

An Analysis on Bengali handwritten conjunct character recognition and prediction
di: Munawar, Maazin, et al.
Pubblicazione: (2021)

Evaluating the effectiveness of CNN-based models for diabetic retinopathy detection
di: Niaz, H.M, et al.
Pubblicazione: (2024)

Tomato leaf disease detection using Resnet-50 and MobileNet Architecture
di: Tahamid, Abu
Pubblicazione: (2021)

Plant disease diagnosis using deep transfer learning architectures- VGG19, MobileNetV2 and Inception-V3
di: Kobra, Khadija-Tul, et al.
Pubblicazione: (2022)

Brain tumor segmentation from MRI images using convolutional neural networks
di: Khan, Mushfiqur Rahman
Pubblicazione: (2024)

A hybrid FL-enabled ensemble approach for lung disease diagnosis leveraging fusion of SWIN transformer and CNN
di: Chowdhury, Asif Hasan, et al.
Pubblicazione: (2023)

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

Myocardial infarction detection using ECG signal applying deep learning techniques - ConvNet, VGG16, InceptionV3 and MobileNet
di: Promita, Samanta Tabassum, et al.
Pubblicazione: (2022)

Detecting brain tumor using deep neural networks from MRI images
di: Imamuzzaman, A.S.M., et al.
Pubblicazione: (2021)

Deep learning based automated diagnosis of Ocular Toxoplasmosis in fundus images using convolutional neural network
di: Choudhury, Prionto Kumar, et al.
Pubblicazione: (2024)

An efficient approach for recyclable waste detection and classification using image processing techniques
di: Chowdhury, Prabal Kumar, et al.
Pubblicazione: (2024)