An implementation and analysis of deep learning models for the detection of wheat diseases

An implementation and analysis of deep learning models for the detection of wheat diseases

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023.

Dettagli Bibliografici
Autori principali: Zubair, Ahmad, Keya, Sharmin Akter, Shailee, Tasnia Zarin, Lenin, Syed Mahathir Md, Nandi, Dhruba
Altri autori: Hossain, Muhammad Iqbal
Natura: Tesi
Lingua:English
Pubblicazione: Brac University 2024
Soggetti:
Deep learning
Machine learning
Wheat diseases
Prediction
Vision transformer
Data mining
Accesso online:http://hdl.handle.net/10361/23611

Accesso online

http://hdl.handle.net/10361/23611

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