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About Mellowness Detection of Dragon Fruit Using Deep Learning Strategy
This document summarizes a research paper that proposes using a deep learning convolutional neural network called RESNET 152 to identify the ripeness level of dragon fruit and determine the optimal time for harvesting. The RESNET 152 model is trained on images of dragon fruit in different stages of ripeness. It is then tested using new image data to classify the ripeness level and time for harvesting more accurately than other models like VGG16/19. The results show the RESNET 152 approach provides higher accuracy and lower loss compared to other methods for determining dragon fruit ripeness.
Detailed Information
| Author: | ['Giva Virgi'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 9 |
| Language: | English |
| Format: | |
| Price: | FREE |
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