A master’s thesis entitled Plant Diseases Classification Based On Leaves Using Deep Learning was defended at the Faculty of Computer Science and Information Technology at Karbala University
Submitted by the Master’s student (Zahraa Yassin Younis) at 9:30 am on Thursday, 23/1/2025, as the discussion took place in Al-Khwarizmi Hall in the Deanship of the College of Computer Science and Information Technology in the presence of the Dean of the College of Computer Science and Information Technology
In the presence of the Dean Dr Muwaffaq Kazim Al-Hasnawi and a number of researchers and teachers.
The study highlighted The importance of early detection of plant diseases, especially tomato and potato plant diseases, using deep learning techniques (MobileNetV2, Densenet121, InceptionV3, and Xception) and Machine Learning model (SVM). The study focused on analysing the leaves of the plants as they are the most susceptible to disease symptoms.
The researcher found: Densenet121 outperformed the other models in terms of accuracy, achieving 98.20% for the potato plant and 95.44% for the tomato plant.
In the second proposal, where Densenet121 was used for feature extraction and SVM for classification, this approach showed higher performance with an accuracy of 99.75% for potato plants and 95.84% for tomato plants.
The second proposal was better than the first proposal in terms of minimising loss, minimising overfitting, and ease of implementation
The discussion committee consisted of Assistant Professor Dr Ashwan Anwar Abdul Moneim / Karbala University / Faculty of Computer Science and Information Technology / Chairman, Assistant Professor Dr Iyad Hamid Mousa / Karbala University / Faculty of Computer Science and Information Technology / Member, Assistant Professor Dr Elaf Ali Aboud Hassan / Babylon University / Faculty of Building Science / Member, and Professor Elham Mohammed Thabet Abdul Amir / Karbala University / Faculty of Computer Science and Information Technology / Member and Supervisor
The discussion was successful and the researcher, Zahraa Yassin Younis, was awarded a master’s degree.
Translated with DeepL.com (free version)
