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.

Sonraí bibleagrafaíochta
Príomhchruthaitheoirí:	Islam, Sabrina, Paul, Apurba, Chowdhury, Oishe Roy, Fiza, Fahmida Akhter
Rannpháirtithe:	Department of Electrical and Electronic Engineering, Brac University
Formáid:	Project report
Teanga:	English
Foilsithe / Cruthaithe:	Brac University 2024
Ábhair:	Agricultural robotics Image processing Disease detection Mango leaves pest Artificial intelligence > Agricultural applications. Plant diseases.
Rochtain ar líne:	http://hdl.handle.net/10361/22682

Míreanna comhchosúla

Detection and classification of Mango Leaf diseases utilizing convolutional neural network models
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Literature review of insect pests and diseases of rice in Bangladesh.
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শস্যের রোগ /
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The role of Artificial Intelligence (AI) in the detection and diagnosis of chronic diseases – a review
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Investigation of in-vitro antioxidant and cytotoxic potential of Crotalaria pallida leaves
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আম /
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Evaluating CNN and Vvsion transformer models for Mango Leaf variety identification
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Quantitative determination of artificial sweeteners and sucrose in energy drinks and mango juice available in Dhaka city by UV-Spectrophotometric method
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Studies on physico-chemical and microbiological qualities of some selected brand of mango fruit juice of Bangladesh
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Foilsithe / Cruthaithe: (2016)

An Analysis of effectiveness of Banglalink’s leave policy
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A semi-supervised federated learning approach leveraging pseudo-labeling for Knee Osteoarthritis severity detection
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Demystify the blackbox model of automated detection of lung and kidney diseases from X-ray and CT radiographs
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Real time performance analysis on DDoS attack detection using machine learning
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Emerging therapies of Alzheimer’s disease: a comprehensive review
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Plant leaf disease identification
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Enhanced medical image analysis: leveraging CUDA for fast and accurate Pneumonia detection with optimized CNNs
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Exploring machine learning techniques for symptom-based detection of livestock diseases
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An efficient deep learning approach for detecting Alzheimer’s disease using brain images
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Automated detection of Malignant Lesions in the ovary using deep learning models and XAI
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Efficient image processing and machine learning approach for predicting retinal diseases
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