Disease detection system of mango leaves

Disease detection system of mango leaves

This final year design project is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2023.

Xehetasun bibliografikoak
Egile Nagusiak:	Islam, Sabrina, Paul, Apurba, Chowdhury, Oishe Roy, Fiza, Fahmida Akhter
Beste egile batzuk:	Department of Electrical and Electronic Engineering, Brac University
Formatua:	Project report
Hizkuntza:	English
Argitaratua:	Brac University 2024
Gaiak:	Agricultural robotics Image processing Disease detection Mango leaves pest Artificial intelligence > Agricultural applications. Plant diseases.
Sarrera elektronikoa:	http://hdl.handle.net/10361/22682

Antzeko izenburuak

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

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

PlantGuard: intelligent plant disease detection
nork: Khanom, Nazifa
Argitaratua: (2024)

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

Leveraging deep learning algorithms for the timely detection of diseases in bean leaves
nork: Fiona, Driciru, et al.
Argitaratua: (2024)

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

Literature review of insect pests and diseases of rice in Bangladesh.
Argitaratua: (1977)

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

বাংলাদেশের কৃষির অনিষ্টকারী পোকামাকড় জীবনবৃত্তান্ত ও নিয়ন্ত্রণ / দ্বিতীয় খন্ড

Design of a smart photovoltaic greenhouse with plant growth based Monitoring System
nork: Islam, MD Jubydul, et al.
Argitaratua: (2024)

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

Machine learning approach for ECG analysis and predicting different heart diseases
nork: Tithi, Sushmita Roy, et al.
Argitaratua: (2019)

শস্যের রোগ /
nork: আশরাফউজ্জামান, হাসান
Argitaratua: (2001)

Comparison of machine learning techniques to predict cardiovascular disease
nork: Jaber, Mir Mohammad, et al.
Argitaratua: (2019)

The role of Artificial Intelligence (AI) in the detection and diagnosis of chronic diseases – a review
nork: Zaman, Mumtahina
Argitaratua: (2022)

Maternity leave: (A study of its impact on female employees in organisations in Dhaka Bangladesh)
nork: Chowdhury, Shaan Ahmed
Argitaratua: (2023)

Comparative analysis of machine learning models for the prediction of asthma disease among the cardiovascular disease patients
nork: Jahan, Asif
Argitaratua: (2024)

A deep neural network approach for intelligent crop selection and yield prediction based on 46 parameters for agricultural zone-28 in Bangladesh
nork: Islam, Tanhim, et al.
Argitaratua: (2018)

Friends of the rice farmer : helpful insects, spiders, and pathogens /
nork: Shepard, Barclay M.
Argitaratua: (1987)

Investigation of in-vitro antioxidant and cytotoxic potential of Crotalaria pallida leaves
nork: Probha, Nafisa Shama
Argitaratua: (2018)

আম /
nork: সিদ্দিকী, মাহবুব

Evaluating CNN and Vvsion transformer models for Mango Leaf variety identification
nork: Labiba, Zaima, et al.
Argitaratua: (2024)

Quantitative determination of artificial sweeteners and sucrose in energy drinks and mango juice available in Dhaka city by UV-Spectrophotometric method
nork: Kanon, Kabirul Islam
Argitaratua: (2018)

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

Studies on physico-chemical and microbiological qualities of some selected brand of mango fruit juice of Bangladesh
nork: Amin, Md. Ruhul
Argitaratua: (2016)

An Analysis of effectiveness of Banglalink’s leave policy
nork: Abir, Md. Bashiur Rahman
Argitaratua: (2015)

A semi-supervised federated learning approach leveraging pseudo-labeling for Knee Osteoarthritis severity detection
nork: Rifat, Rakib Hossain
Argitaratua: (2024)

Demystify the blackbox model of automated detection of lung and kidney diseases from X-ray and CT radiographs
nork: Islam, Md. Nazmul
Argitaratua: (2023)

Real time performance analysis on DDoS attack detection using machine learning
nork: Suvra, Debashis Kar, et al.
Argitaratua: (2021)

Multimodal human detection in disaster situations using deep learning & artificial intelligence
nork: Rafat, Md. Tasbi, et al.
Argitaratua: (2023)

Emerging therapies of Alzheimer’s disease: a comprehensive review
nork: Tasin, Md Abtahi
Argitaratua: (2023)

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

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

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

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

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

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

Bengali hand sign language recognition using convolutional neural networks
nork: Rumi, Roisul Islam, et al.
Argitaratua: (2019)

Deepfake detection using neural networks
nork: Sakib, Sadman, et al.
Argitaratua: (2021)

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