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Dragon Fruit Mellowness Detection Using CNN by Giva Virgi is a document available to read on EtoBox.
What is Dragon Fruit Mellowness Detection Using CNN about?
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 ac
- Author
- Giva Virgi
- Language
- EN