Classification of hazelnuts according to their quality using deep learning algorithms

Hazelnut is a product with high nutritional and economic value. In maintaining the quality value of hazelnut, classification process great importance. present day, hazelnuts other crops performed in general manually, so it difficult costly. Performing this modern agricultural techniques much more important terms quality. This study was based on model intended to detect hazelnut The about establishment an artificial intelligence-based system that can hidden defects hazelnuts. developed model, visuals used dataset are divided into training test groups. 5 classes according their using AlexNet architecture deep learning (DL) instead traditional methods. intelligence, very good approach presented accurate 99%. Moreover, values regarding precision recall were also determined at 98.7% 99.6%, respectively. becoming widespread information technology use computer-assisted applications economics field such as classification, quality, control.