基于光谱成像和声学技术的水果成熟度无损检测系统设计

Design of Non-destructive Testing System for Fruit Ripeness Based on Spectral Imaging and Acoustic Technology

水果成熟度的快速、无损与精确检测有助于水果的采摘、运输与存储,以此提高水果产业的经济效益.本文设计了一个紧凑、独立的光谱和声学结合的水果成熟度无损快速检测系统.该系统创造性地将光谱技术和声学技术相结合,针对不同精度的检测要求可以在同一装置上进行操作.该系统在采集数据以后借助人工智能技术,通过神经网络建立水果的成熟度检测模型,可以实现随时随地进行水果成熟度的快速无损检测.

Rapid,non-destructive and accurate detection of fruit ripeness is helpful for fruit picking,transportation and storage,so as to improve the economic benefits of fruit industry.In this paper,a compact,independent spectral and acoustic combination of fruit ripeness non-destructive rapid detection system is designed.The system creatively combines spectral technology and acoustic technology,and can be operated on the same device for different accuracy detection requirements.After collecting data,the system uses artificial intelligence technology to establish a fruit ripeness detection model through neural network,which can realize rapid and non-destructive detection of fruit ripeness anytime and anywhere.