| Autor: |
Shaik Shafiulla Basha, Syed Jahangir Badashah |
| Rok vydání: |
2020 |
| Předmět: |
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| Zdroj: |
2020 International Conference on Smart Electronics and Communication (ICOSEC). |
| DOI: |
10.1109/icosec49089.2020.9215336 |
| Popis: |
Today in agricultural sector, identification of rice type is important and this should be accurate. The type of rice grain is determined by inspection officer using which the results are mostly relative and time consuming. It might also be affected by their mental state, etc. So to overcome the shortcomings that occur on reducing traditional methods that use neural networks. Also the quality plays a vital job in formatting the cost, which is to be paid to the farmer. Even this can be accurately calculated using image processing techniques. The image preprocessing techniques like gray scale conversion and median filtering are used. Image segmentation algorithms are applied and then some features are extracted and fed to the neural network as input. After the network is trained, test inputs are given to predict the type of rice. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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