The Study of Non-Destructive Measurement Apple's Firmness and Soluble solid Content Using Multispectral Imaging

نویسندگان

  • Muhua Liu
  • Duan Wumao
  • Huaiwei Lin
چکیده

Firmness and soluble solid content (SSC) are two important quality attributes. This researches investigated the feasibility of using multi-spectral imaging to non-destructive measuring the apple’s firmness and SSC. The spectral imaging in wavelength of 632nm、650nm、670nm、780nm、850nm and 900nm were captured. The Lorentzian distribution (LD), Gaussian distribution (GD) and Exponential distribution (ED) with three parameters were used to fit scattering profiles for all wavelengths. LD was found to be the best function for fitting gray distribution of the image. The multi-linear regression model using Lorentzian parameters for predicting apple firmness and soluble solids content were built using best single wavelength, double wavelengths, three wavelengths and four wavelengths. The best model with three wavelengths was able to predict apple soluble solid content with r=0.831, SEC=0.55 °Brix and predict apple firmness with r=0.880, SEC=0.52 N with four wavelengths. Experimental results show that the multi-spectral scattering imaging has high potential as a nondestructive and rapid method to assess fruit internal quality.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Hyperspectral Imaging for Assessing the Quality and Condition of Apples

Objectives: The overall objective of the project was to develop a novel light-based sensing technique to assess internal quality (firmness and sugar content or soluble solids content) of apples. Specific objectives were to: 1. Investigate a new sensing method, using hyperspectral and multispectral imaging, for quantifying the absorption and scattering properties of apple fruit; 2. Develop mathe...

متن کامل

Multispectral imaging for predicting firmness and soluble solids content of apple fruit

Firmness and soluble solids content (SSC) are important quality attributes for apples and many other fresh fruits. This research investigated the feasibility of using multispectral imaging to quantify light backscattering profiles from apple fruit for predicting firmness and SSC. Spectral images of the backscattering of light at the fruit surface, which were generated from a focused broadband b...

متن کامل

Application of Multispectral Imaging to Determine Quality Attributes and Ripeness Stage in Strawberry Fruit

Multispectral imaging with 19 wavelengths in the range of 405-970 nm has been evaluated for nondestructive determination of firmness, total soluble solids (TSS) content and ripeness stage in strawberry fruit. Several analysis approaches, including partial least squares (PLS), support vector machine (SVM) and back propagation neural network (BPNN), were applied to develop theoretical models for ...

متن کامل

Fruit Quality Evaluation Using Spectroscopy Technology: A Review

An overview is presented with regard to applications of visible and near infrared (Vis/NIR) spectroscopy, multispectral imaging and hyperspectral imaging techniques for quality attributes measurement and variety discrimination of various fruit species, i.e., apple, orange, kiwifruit, peach, grape, strawberry, grape, jujube, banana, mango and others. Some commonly utilized chemometrics including...

متن کامل

Spectral Separation of Quantum Dots within Tissue Equivalent Phantom Using Linear Unmixing Methods in Multispectral Fluorescence Reflectance Imaging

Introduction Non-invasive Fluorescent Reflectance Imaging (FRI) is used for accessing physiological and molecular processes in biological media. The aim of this article is to separate the overlapping emission spectra of quantum dots within tissue-equivalent phantom using SVD, Jacobi SVD, and NMF methods in the FRI mode. Materials and Methods In this article, a tissue-like phantom and an optical...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2008