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.

Bibliografiset tiedot
Päätekijät:	Islam, Sabrina, Paul, Apurba, Chowdhury, Oishe Roy, Fiza, Fahmida Akhter
Muut tekijät:	Department of Electrical and Electronic Engineering, Brac University
Aineistotyyppi:	Project report
Kieli:	English
Julkaistu:	Brac University 2024
Aiheet:	Agricultural robotics Image processing Disease detection Mango leaves pest Artificial intelligence > Agricultural applications. Plant diseases.
Linkit:	http://hdl.handle.net/10361/22682

Samankaltaisia teoksia

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

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

PlantGuard: intelligent plant disease detection
Tekijä: Khanom, Nazifa
Julkaistu: (2024)

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

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

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

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

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

বাংলাদেশের কৃষির অনিষ্টকারী পোকামাকড় জীবনবৃত্তান্ত ও নিয়ন্ত্রণ / দ্বিতীয় খন্ড

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

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

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

শস্যের রোগ /
Tekijä: আশরাফউজ্জামান, হাসান
Julkaistu: (2001)

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

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

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

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

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

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

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

আম /
Tekijä: সিদ্দিকী, মাহবুব

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Deepfake detection using neural networks
Tekijä: Sakib, Sadman, et al.
Julkaistu: (2021)

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