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.

Détails bibliographiques
Auteurs principaux: Raj, Hafiz Mohiuddin, Shahreen, Sazia, Shah, Muntaha Binte, Evan, Syed Washinur Ashraf, Abdullah, Juhayer
Autres auteurs: Chakrabarty, Amitabha
Format: Thèse
Langue:English
Publié: Brac University 2023
Sujets:
Soil texture
NN models
CNN
Machine learning
Image augmentation
Ensemble
Soil classification
Soils > Classification
Neural networks (Computer science)
Accès en ligne:http://hdl.handle.net/10361/21811

Internet

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

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