Tomato Leaf Disease Detection and Classification Using Deep Learning Techniques / Cheemaladinne Vengaiah

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TextPublication details: Amaravathi VIT-AP University 2024Description: x, 99p. ill. ; 30cmSubject(s):

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Item type	Current library	Collection	Call number	Status	Notes	Date due	Barcode
Thesis	VIT-AP Reference	Reference	006.31 VEN (Browse shelf(Opens below))	Not for loan	CSE		TH105

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Previous	006.31 SUK A Methodical Investigation of Parkinson’s Disease Severity Assessment through analysis of MRI images using Enhanced Deep learning approach	006.31 SUR An Efficient and Intelligent Deep Learning Techniques for Detection and Classification of Intrusion Detection System in Class Imbalance Datasets	006.31 USE Deep Learning Based Facial Expression Recognition and its Applications	006.31 VEN Tomato Leaf Disease Detection and Classification Using Deep Learning Techniques	006.31 VEN A Spatio-Temporal Data Imputation Model For Internet of Things Using Similarity Search And Deep Learning	006.31 VIJ Automated System Design for Multi-Stage Glaucoma Detection using Machine Learning Methods	006.31 VIJ An End-to-End Deep Learning model for Alzheimer’s Disease Classification through Biomarker Segmentation	Next

It includes Abstract, Acknowledgement, Table of Contents, List of Figures, List of Tables, List of Terms and Abbreviations, and Chapters etc.

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