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About 4344-Article Text-18113-2-10-20231006
This document summarizes a research paper that detects rice leaf diseases using deep learning with the InceptionV3 model. It discusses the importance of rice production in Indonesia and how diseases can reduce yields. The researchers trained the InceptionV3 model on a dataset of 5932 rice leaf images with 4 classes of diseases. The model achieved an accuracy of 97.47% at detecting the diseases, showing that InceptionV3 is an effective CNN method for this task. It also reviews related work on classifying rice diseases using other machine learning algorithms.
Detailed Information
| Author: | ["Arif Mu'amar Wahid"] |
|---|---|
| Publication Year: | 2023 |
| Pages: | 8 |
| Language: | English |
| Format: | |
| Price: | FREE |
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