Detection and classification of Mango Leaf diseases utilizing convolutional neural network models

Detection and classification of Mango Leaf diseases utilizing convolutional neural network models

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2024.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς:	Ferdous, Md.Rubaiat, Amin, Abdulla Al, Shaily, Senjuti Sarkar, Ricky, Fabliha Tarannum, Tabeeb, Tahmeed
Άλλοι συγγραφείς:	Islam, Saiful
Μορφή:	Thesis
Γλώσσα:	English
Έκδοση:	Brac University 2024
Θέματα:	Mango leaf disease Convolutional neural network Deep learning Artificial Intelligence Machine learning Machine learning. Data mining. Artificial Intelligence. Convolutional neural networks. Plant diseases > Detection.
Διαθέσιμο Online:	http://hdl.handle.net/10361/24293

Παρόμοια τεκμήρια

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Comparison of machine learning techniques to predict cardiovascular disease
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PlantGuard: intelligent plant disease detection
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Implementation of diffusion model in realistic face generation
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Anti-aliasing for real-time applications in 3D using deep convolutional neural network
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Visual object recognition using deep convolutional neural network
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Deep learning based early Glaucoma detection
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Leveraging sequential deep learning models for detecting multitude of human action categories
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Classiﬁcation of damaged vegetation areas using convolutional neural network over satellite images
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Detection of skin cancer using Convolutional neural network
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