Pest detection system using machine learning techniques

Pest detection system using machine learning techniques

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022

Xehetasun bibliografikoak
Egile Nagusiak:	Prithvi, Protyusha Barua, Zahin, Fabliha, Anny, Sanjida Sultana
Beste egile batzuk:	Chakrabarty, Amitabha
Formatua:	Thesis
Hizkuntza:	English
Argitaratua:	Brac University 2022
Gaiak:	Deep learning Transfer learning Pest detection Data augmentation Loss function Hyperparameter tuning Support Vector Machine (SVM) Inceptionv3 Xception You Only Look Once version 5 (YOLOv5) Convolutional Neural Network (CNN) Machine learning Cognitive learning theory (Deep learning) Neural networks (Computer science)
Sarrera elektronikoa:	http://hdl.handle.net/10361/17127

Antzeko izenburuak

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Child Safe Browser Extension: A Browser Extension to Detect Adultery and Violent Content to Make Safer Web for Children
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