PlantGuard: intelligent plant disease detection

PlantGuard: intelligent plant disease detection

This project report is submitted in partial fulfillment of the requirements for the degree of Master of Science in Computer Science and Engineering, 2024.

Bibliografiset tiedot
Päätekijä:	Khanom, Nazifa
Muut tekijät:	Hossain, Muhammad Iqbal
Aineistotyyppi:	Project report
Kieli:	English
Julkaistu:	Brac University 2024
Aiheet:	Leaf textures Texture features CNN Convolutional neural network Image data analysis Deep learning Disease detection Plant diseases > Diagnosis. Neural networks (Computer science) > Agricultural aspects. Artificial intelligence > Applications in agriculture.
Linkit:	http://hdl.handle.net/10361/24033

Samankaltaisia teoksia

Plant leaf disease identification
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Julkaistu: (2024)

Detection and classification of Mango Leaf diseases utilizing convolutional neural network models
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Julkaistu: (2024)

Deep learning based early Glaucoma detection
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Julkaistu: (2024)

Leveraging deep learning algorithms for the timely detection of diseases in bean leaves
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Julkaistu: (2024)

Efficient image processing and machine learning approach for predicting retinal diseases
Tekijä: Hasib, Mehadi Hasan, et al.
Julkaistu: (2021)

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

Pneumonia Disease detection using the convolutional neural network
Tekijä: Ashrafee, Md. Iftid, et al.
Julkaistu: (2024)

Early detection of parkinson’s disease using image processing and artificial neural network
Tekijä: Rumman, Mosarrat, et al.
Julkaistu: (2018)

Disease detection system of mango leaves
Tekijä: Islam, Sabrina, et al.
Julkaistu: (2024)

Plant disease detection using convolutional neural network
Tekijä: Hossain, Mohammad Shifat, et al.
Julkaistu: (2021)

Design and evaluation of convolutional neural network for detection of Alzheimer’s disease using MRI data
Tekijä: Mahbub, Riasat, et al.
Julkaistu: (2022)

Automated system for detecting jute plant disease using image processing and machine learning integrated with mobile application
Tekijä: Joyee, Faiza Nuzhat, et al.
Julkaistu: (2016)

Smart detection and classification of fungal disease in rice plants using image processing techniques
Tekijä: Rashed, Akib, et al.
Julkaistu: (2024)

Incorporating deep features extracted from convolutional neural networks to utilize machine learning classifiers for improved identification of Maize Leaf Disease
Tekijä: Khan, Shama, et al.
Julkaistu: (2024)

Autonomous fault diagnosis of commercially available PV modules using high-end deep learning frameworks
Tekijä: Tasawar, Ihtyaz Kader, et al.
Julkaistu: (2021)

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

A PSO-ANLBF based automated feature extraction method
Tekijä: Shakhawat, Sabrina, et al.
Julkaistu: (2018)

Classification of Bangladeshi soil texture using convolutional neural network
Tekijä: Raj, Hafiz Mohiuddin, et al.
Julkaistu: (2023)

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

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

Comparison of deep transfer learning models for cancer diagnosis
Tekijä: Joya, Nadia Islam, et al.
Julkaistu: (2023)

Exploring machine learning techniques for symptom-based detection of livestock diseases
Tekijä: Niloy, Mahir Ahmed, et al.
Julkaistu: (2024)

Traumatic meningeal enhancement detection by deep learning-based biomedical image analysis and handcrafted features extraction
Tekijä: Uddin, Mohammad Sakib, et al.
Julkaistu: (2024)

Exploring Alzheimer's disease prediction with XAI in various neural network models
Tekijä: Rahman, Quazi Ashikur, et al.
Julkaistu: (2022)

Enhanced medical image analysis: leveraging CUDA for fast and accurate Pneumonia detection with optimized CNNs
Tekijä: Alvi, Md.Waseq Alauddin
Julkaistu: (2024)

An efficient deep learning approach for detecting Alzheimer’s disease using brain images
Tekijä: Sani, Mehedi Hasan, et al.
Julkaistu: (2022)

Explainable AI (XAI) driven skin cancer detection using transformer and CNN based architecture
Tekijä: Radiah, Faiza, et al.
Julkaistu: (2024)

Clustering and detection of good and bad rail line anchors from images
Tekijä: Islam, Samiul, et al.
Julkaistu: (2017)

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

Explainable Deepfake video detection using Convolutional Neural Network and CapsuleNet
Tekijä: Ishrak, Gazi Hasin, et al.
Julkaistu: (2022)

Deep Learning based Medicinal Plants Leaf Recognition
Tekijä: Mahalanabish, Tonusri
Julkaistu: (2023)

An interpretable diagnosis of retinal diseases using vision transformer and Grad-CAM
Tekijä: Bhuiyan, Mahdi Hasan, et al.
Julkaistu: (2024)

Silent voice: harnessing deep learning for lip-reading in Bangla
Tekijä: Shaheen, Munia, et al.
Julkaistu: (2024)

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

Leaf classification by feature extraction using CNN
Tekijä: Bhuiyan, Md. Mazharul Islam, et al.
Julkaistu: (2020)

Smart agriculture management system for rice disease detection and fertilizer
Tekijä: Faiyaz, Md Abrar Hossen, et al.
Julkaistu: (2024)

Detecting Deepfake images using deep convolutional neural network
Tekijä: Dhar, Arpita, et al.
Julkaistu: (2022)

Brain tumor detection with convolutional neural network
Tekijä: Galib, Abrar Tahmid, et al.
Julkaistu: (2024)

An efficient deep learning approach for brain tumor detection using 3D convolutional neural network
Tekijä: Ali, Syed Muaz
Julkaistu: (2023)

An efficient deep learning approach to detect neurodegenerative diseases using retinal images
Tekijä: Irfanuddin, Chowdhury Mohammad, et al.
Julkaistu: (2023)