Detection of Various Diseases in Fruits and Vegetables with the Help of Different Deep Learning Techniques

Authors : Emrullah Acar, Sevil Özcan

Pages : 62-67

Doi:10.17694/bajece.1335257

View : 47 | Download : 51

Publication Date : 2024-03-01

Article Type : Research Paper

Abstract :Fruit and vegetable diseases have an important place in the food sector in terms of sustainable agricultural policies. Thus, ıt affects tissues, targeting and negatively impacting the food supply. In this study, Two separate Deep Learning (CNN, AlexNet) models were employed to detect this difference, visual damage and surface marker seen in fruits and vegetables. 22 strawberries and 18 tomato images were used for this analysis, and than data augmentation was implemented 600 images out of 40 images using the image reproduction broadcast. As a result, 83.3% success was achieved.
Keywords : Deep learning, convolutıonal neural network cnn, fruit and vegetable disease