Fruit classification method based on deep learning

W. Xuemei
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Abstract

. Image recognition is a typical application in the field of pattern recognition. How to accurately and quickly carry out image recognition has always been an important topic for scholars all over the world. Fruit image recognition plays an important role in the field of intelligent agriculture and digital medicine. In the aspect of smart agriculture, the accurate cultivation of fruit trees in compound orchards and automatic fruit picking can be realized through the identification of fruits; In the field of digital medicine, fruit recognition is mainly used to assist the analysis of fruit nutrients in the later stage, so as to help patients formulate a reasonable diet.Therefore, based on the in-depth study of deep learning theory, this paper applies deep learning to fruit image recognition, so as to improve the recognition performance of fruit image. technologies, China's
基于深度学习的水果分类方法
. 图像识别是模式识别领域的一个典型应用。如何准确、快速地进行图像识别一直是各国学者研究的重要课题。水果图像识别在智能农业和数字医学领域有着重要的作用。在智慧农业方面,通过对水果的识别,可以实现复合果园果树的精准栽培和水果的自动采摘;在数字医学领域,水果识别主要用于辅助后期水果营养成分的分析,从而帮助患者制定合理的饮食。因此,本文在深入研究深度学习理论的基础上,将深度学习应用于水果图像识别,从而提高水果图像的识别性能。技术,中国
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