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

Year 2024, Volume: 12 Issue: 1, 62 - 67, 01.03.2024

Sevil Özcan , Emrullah Acar

https://doi.org/10.17694/bajece.1335257

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

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