2017 Spokane, Washington July 16 - July 19, 2017 2017
DOI: 10.13031/aim.201700757
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<i>Machine vision and thermographic imaging for determining of grading of tomato on postharvest</i>

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“…These researchers often classify damage as visible permanent deformations (Sargent et al, 1989) or externally visible skin cracking and rupture (Geyer et al, 2002). Techniques to analyze damaged fruits with a nondestructive method have used thermal imaging devices (Cui et al, 2017a;Kheiralipour et al, 2013). Doosti-Irani et al (2016) used a thermal imaging camera to assess the relationship between the deep internal temperatures of tested fruit and the external temperatures at the point where bruising appeared using thermal maps and thermal bruise depth.…”
mentioning
confidence: 99%
“…These researchers often classify damage as visible permanent deformations (Sargent et al, 1989) or externally visible skin cracking and rupture (Geyer et al, 2002). Techniques to analyze damaged fruits with a nondestructive method have used thermal imaging devices (Cui et al, 2017a;Kheiralipour et al, 2013). Doosti-Irani et al (2016) used a thermal imaging camera to assess the relationship between the deep internal temperatures of tested fruit and the external temperatures at the point where bruising appeared using thermal maps and thermal bruise depth.…”
mentioning
confidence: 99%