Paper
2 June 2011 Physical and mechanical properties of spinach for whole-surface online imaging inspection
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Abstract
The physical and mechanical properties of baby spinach were investigated, including density, Young's modulus, fracture strength, and friction coefficient. The average apparent density of baby spinach leaves was 0.5666 g/mm3. The tensile tests were performed using parallel, perpendicular, and diagonal directions with respect to the midrib of each leaf. The test results showed that the mechanical properties of spinach are anisotropic. For the parallel, diagonal, and perpendicular test directions, the average values for the Young's modulus values were found to be 2.137MPa, 1.0841 MPa, and 0.3914 MPa, respectively, and the average fracture strength values were 0.2429 MPa, 0.1396 MPa, and 0.1113 MPa, respectively. The static and kinetic friction coefficient between the baby spinach and conveyor belt were researched, whose test results showed that the average coefficients of kinetic and maximum static friction between the adaxial (front side) spinach leaf surface and conveyor belt were 1.2737 and 1.3635, respectively, and between the abaxial (back side) spinach leaf surface and conveyor belt were 1.1780 and 1.2451 respectively. These works provide the basis for future development of a whole-surface online imaging inspection system that can be used by the commercial vegetable processing industry to reduce food safety risks.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xiuying Tang, Chang Y. Mo, Diane E. Chan, Yankun Peng, Jianwei Qin, Chun-Chieh Yang, Moon S. Kim, and Kuanglin Chao "Physical and mechanical properties of spinach for whole-surface online imaging inspection", Proc. SPIE 8027, Sensing for Agriculture and Food Quality and Safety III, 802711 (2 June 2011); https://doi.org/10.1117/12.884892
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Cited by 4 scholarly publications.
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KEYWORDS
Inspection

Safety

Agriculture

Imaging systems

Packaging

Complex systems

Machine vision

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