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.

Bibliografiska uppgifter
Huvudupphovsmän: Zubair, Ahmad, Keya, Sharmin Akter, Shailee, Tasnia Zarin, Lenin, Syed Mahathir Md, Nandi, Dhruba
Övriga upphovsmän: Hossain, Muhammad Iqbal
Materialtyp: Lärdomsprov
Språk:English
Publicerad: Brac University 2024
Ämnen:
Deep learning
Machine learning
Wheat diseases
Prediction
Vision transformer
Data mining
Länkar:http://hdl.handle.net/10361/23611

Internet

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

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