International Journal of Academic Information Systems Research (IJAISR)
  Year: 2021 | Volume: 5 | Issue: 1 | Page No.: 6-13
Strawberry Classification Using Deep Learning
Ramez A. M. Aish

Abstract:
Rosaceae, the rose family of flowering plants (order Rosales), composed of some 2,500 species in more than 90 genera. The family is primarily found in the north temperate zone and occurs in a wide variety of habitats. They're an excellent source of vitamin C and manganese and also contain decent amounts of folate (vitamin B9) and potassium. Strawberries are very rich in antioxidants and plant compounds, which may have benefits for heart health and blood sugar control Strawberries' carbs consists mainly of fibers and simple sugars. They have a relatively low GI and should not cause big spikes in blood sugar levels. In this paper, machine learning based approach is presented for identifying type Strawberry with a dataset that contains 2,306 images use 1,212 images for training, 520 images for validation and 574 images for testing. A deep learning technique that extensively applied to image recognition was used. use 70% from image for training and 30% from image for validation. Our trained model achieved an accuracy of 100% on a held-out test set, demonstrating the feasibility of this approach.