home    about    browse    search    latest    help 
Login | Create Account

Moisture content measurement in dried apple produce through visible wavelength hyperspectral imaging

Crichton, S.O.J.; Hurlbert, A. and Sturm, B. (2015) Moisture content measurement in dried apple produce through visible wavelength hyperspectral imaging. Paper at: 2015 ASABE Annual International Meeting, New Orleans, Louisiana, USA, July 26 – 29, 2015.

[thumbnail of Crichton et al. ASBAE 2015.pdf] PDF - English
Limited to [Depositor and staff only]


Document available online at: http://elibrary.asabe.org/abstract.asp?aid=46171&t=2&redir=&redirType=


Traditional fruit drying within industry is undertaken using tried, tested and trusted drying schemes for different food produce. This maximises yield for a specific output food quality when input food quality is strictly controlled. However this strict control of input food quality leads to excess food wastage at the input stage. The use of set drying treatments can also result in higher energy usage during the drying process than may be necessary. In order to investigate methods to reduce both food wastage and energy usage we propose the tailoring of the drying process to the incoming food quality and condition.To achieve this we investigate the feasibility of online moisture content estimation of apple discs during the drying process through the use of hyperspectral imaging in the visible range (400-780nm). This involved the drying of apple samples, Braeburn variety, within a general purpose oven, Genlab J-SS-OH, at 70°C. Imaging was undertaken using a Specim V10E hyperspectral camera with a rotational scanning mirror attachment and Schneider Xenoplan 50mm f/2.8 lens under illumination provided by a Verivide D65 ‘Artificial Daylight’ lamp (CCT 6500K), in a viewing cabinet. 54 Braeburn apples, at the same ripeness stage, were sliced into 5mm thick discs of uniform size and inner and outer diameters. These were then dried within the oven at 70°C for a period of 6 hours. Each disc was individually hyperspectrally imaged at 1 hour intervals in conjunction with mass measurement of each apple disc. From regression analysis, a good level of moisture content prediction within this wavelength region was uncovered.

EPrint Type:Conference paper, poster, etc.
Type of presentation:Paper
Keywords:SusOrganic, hyperspectral imaging, apples, color, drying, image processing, PLSR
Subjects: Food systems > Processing, packaging and transportation
Research affiliation: European Union > CORE Organic Plus > SusOrganic
UK > Univ. Newcastle
Germany > University of Kassel
Related Links:http://coreorganicplus.org/research-projects/susorganic/
Deposited By: von Gersdorff, Gardis J.E.
ID Code:30674
Deposited On:09 Nov 2016 13:35
Last Modified:09 Nov 2016 13:35
Document Language:English
Refereed:Peer-reviewed and accepted

Repository Staff Only: item control page


Downloads per month over past year

View more statistics