Hyperspectral-imaging-based techniques applied to wheat kernels characterization

Silvia Serranti; Daniela Cesare; Giuseppe Bonifazi

doi:10.1117/12.918559

9 May 2012 Hyperspectral-imaging-based techniques applied to wheat kernels characterization

Silvia Serranti, Daniela Cesare, Giuseppe Bonifazi

Proceedings Volume 8369, Sensing for Agriculture and Food Quality and Safety IV; 83690T (2012) https://doi.org/10.1117/12.918559
Event: SPIE Defense, Security, and Sensing, 2012, Baltimore, Maryland, United States

Abstract

Single kernels of durum wheat have been analyzed by hyperspectral imaging (HSI). Such an approach is based on the utilization of an integrated hardware and software architecture able to digitally capture and handle spectra as an image sequence, as they results along a pre-defined alignment on a surface sample properly energized. The study was addressed to investigate the possibility to apply HSI techniques for classification of different types of wheat kernels: vitreous, yellow berry and fusarium-damaged. Reflectance spectra of selected wheat kernels of the three typologies have been acquired by a laboratory device equipped with an HSI system working in near infrared field (1000-1700 nm). The hypercubes were analyzed applying principal component analysis (PCA) to reduce the high dimensionality of data and for selecting some effective wavelengths. Partial least squares discriminant analysis (PLS-DA) was applied for classification of the three wheat typologies. The study demonstrated that good classification results were obtained not only considering the entire investigated wavelength range, but also selecting only four optimal wavelengths (1104, 1384, 1454 and 1650 nm) out of 121. The developed procedures based on HSI can be utilized for quality control purposes or for the definition of innovative sorting logics of wheat.

Citation Download Citation

Silvia Serranti, Daniela Cesare, and Giuseppe Bonifazi "Hyperspectral-imaging-based techniques applied to wheat kernels characterization", Proc. SPIE 8369, Sensing for Agriculture and Food Quality and Safety IV, 83690T (9 May 2012); https://doi.org/10.1117/12.918559

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available