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About Katsande Android Applicationfor Crop Disease Diagnosis Using Image Processing and Deep Learning
This document describes a Master's dissertation proposal submitted by Munashe Brian Katsande to the University of Zimbabwe's Department of Electrical Engineering. The proposal is for an Android application for crop disease diagnosis using image processing and deep learning techniques. The application will use a pretrained Inception v3 model with additional layers trained on a cotton crop disease dataset. Experimental results showed the developed model achieved an average accuracy of 83% for disease classification. If approved, the dissertation will further develop the mobile application and model. It will evaluate the system's ability to help farmers detect crop diseases from images in order to increase food security and crop yields.
Detailed Information
| Author: | ['Jeanette Gabrillo'] |
|---|---|
| Publication Year: | 2022 |
| Pages: | 84 |
| Language: | English |
| Format: | |
| Price: | FREE |
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