Download Potato Leaf Disese CV PDF Free - Full Version
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About Potato Leaf Disese CV
This document describes a study on classifying potato leaf diseases using deep learning techniques. The study uses a dataset of 180 potato leaf images split into 3 classes: infected by late blight, infected by early blight, and healthy leaves. Convolutional neural network models like InceptionV3 and EfficientNetB1 are used for transfer learning to classify the images. The models are trained on 80% of the dataset and tested on the remaining 10%, with 10% used for validation. InceptionV3 achieved an accuracy of 88% while EfficientNetB1 achieved a higher accuracy of 94%. The goal of the study is to accurately identify potato leaf diseases to help reduce crop losses and improve yields.
Detailed Information
| Author: | ['Mohammed Seid'] |
|---|---|
| Publication Year: | 2023 |
| Pages: | 18 |
| Language: | English |
| Format: | |
| Price: | FREE |
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