Plant leaf disease identification

Plant leaf disease identification

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023.

Xehetasun bibliografikoak
Egile Nagusiak:	Hasan Mahin, Mohammad Rakibul, Moonwar, Waheed, Rayhan Chy, Md. Shamsul, Shahriar, Md. Fahim, Rafi, Fahim Faisal
Beste egile batzuk:	Rasel, Annajiat Alim
Formatua:	Thesis
Hizkuntza:	English
Argitaratua:	Brac University 2024
Gaiak:	Neural network Convolutional Neural Network (CNN) Plant leaf disease identification Deep learning XAI Image processing Cognitive learning theory (Deep learning) Plant diseases > Diagnosis
Sarrera elektronikoa:	http://hdl.handle.net/10361/22178

Antzeko izenburuak

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An interpretable diagnosis of retinal diseases using vision transformer and Grad-CAM
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An efficient deep learning approach to detect citrus leaves disease
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Comparative study of X-ray and CT scan images for the detection of COVID-19 using deep learning
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Diabetic retinopathy detection and classification by using deep learning
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Evaluating CNN and Vvsion transformer models for Mango Leaf variety identification
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Deep Learning based Medicinal Plants Leaf Recognition
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