| Summary: | The objective of this research is to propose a deep learning based-prediction model for pineapple sweetness. Inthis research, we use a Convolutional Neural Network (CNN) to predict sweetness of pineapples from images.The dataset contains 4,860 pineapple images for training. Based on the CNN designed it is found that the bestimage size is 300 × 300 pixels resized to 30 × 30 pixels. The classification accuracy of training and testing are72.38% and 78.50%, respectively. In addition, the root mean square error values for training and testing are0.1362 and 0.1156, respectively. When developed as a mobile application, the accuracy of the application is80.15%, the root mean square error value is 0.0156 and the reliability is 95.00%.
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