Classification of Bangladeshi soil texture using convolutional neural network

Classification of Bangladeshi soil texture using convolutional neural network

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

Bibliographische Detailangaben
Hauptverfasser: Raj, Hafiz Mohiuddin, Shahreen, Sazia, Shah, Muntaha Binte, Evan, Syed Washinur Ashraf, Abdullah, Juhayer
Weitere Verfasser: Chakrabarty, Amitabha
Format: Abschlussarbeit
Sprache:English
Veröffentlicht: Brac University 2023
Schlagworte:
Soil texture
NN models
CNN
Machine learning
Image augmentation
Ensemble
Soil classification
Soils > Classification
Neural networks (Computer science)
Online Zugang:http://hdl.handle.net/10361/21811

Online

http://hdl.handle.net/10361/21811

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