智慧农业导刊2026，Vol.6Issue(12)：46-49,4.DOI:10.20028/j.zhnydk.2026.12.011
基于深度学习的苹果内部品质评价系统开发与设计
摘要
Abstract
Apples are known as the king of fruits.With the increase in apple production in various provinces in the country,many apples suffering from internal defects such as mildew heart disease and bumps are also mixed in the market.Traditional manual identification can only detect the external quality of apples and cannot evaluate the internal quality.Based on the high cost of detection technologies such as infrared spectroscopy and CT scanning,ultrasound provides new ideas for non-destructive testing and grading of apple internal quality due to its low price and harmlessness to the environment.This paper proposes to carry out research on apple internal quality detection methods based on ultrasonic signal analysis and deep learning technology,and improve the ResNet18 model.The classification accuracy rate reaches 93.8%,and develop and design an apple internal quality detection system.关键词
苹果/内部品质/超声/信号分析/深度学习Key words
apple/internal quality/ultrasound/signal analysis/deep learning分类
农业科技引用本文复制引用
黄璜,徐建飞..基于深度学习的苹果内部品质评价系统开发与设计[J].智慧农业导刊,2026,6(12):46-49,4.基金项目
2024年安徽省高校自然科学重点研究项目(2024AH052008) （2024AH052008）
