About this document
Android App for Real-Time Fruit Quality Assessment by Ratul Parvez is a document available to read on EtoBox.
This document presents an updated abstract and conclusion for a research paper on an Android-based application for real-time fruit quality assessment using deep learning and computer vision. The study evaluates various convolutional neural network architectures, identifying EfficientNetB0 as the optimal model for balancing accuracy and computational efficiency. The conclusion highlights limitations and future work, emphasizing the need for model optimization and dataset expansion to improve generalization a
- Author
- Ratul Parvez
- Language
- EN