Machine vision technology for detecting the external defects of fruits — a review

Principles, developments and applications of computer vision for external quality inspection of fruits and vegetables: A review

(2014) Baohua Zhang et al.   FOOD RESEARCH INTERNATIONAL

Hyperspectral LCTF-based system for classification of decay in mandarins caused by Penicillium digitatum and Penicillium italicum using the most relevant bands and non-linear classifiers

(2013) J. Gómez-Sanchis et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

Automatic detection of common surface defects on oranges using combined lighting transform and image ratio methods

(2013) Jiangbo Li et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

Detection of cuticle defects on cherry tomatoes using hyperspectral fluorescence imagery

(2012) Byoung-Kwan Cho et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

Development of algorithms for detecting citrus canker based on hyperspectral reflectance imaging

(2011) Jiangbo Li et al.   JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE

Automatic detection of skin defects in citrus fruits using a multivariate image analysis approach

(2010) Fernando López-García et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Recognition and classification of external skin damage in citrus fruits using multispectral data and morphological features

(2009) J. Blasco et al.   BIOSYSTEMS ENGINEERING

The application of machine vision to food and agriculture: a review

(2009) E R Davies   IMAGING SCIENCE JOURNAL

Detecting chilling injury in Red Delicious apple using hyperspectral imaging and neural networks

(2009) Gamal ElMasry et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

Hyperspectral system for early detection of rottenness caused by Penicillium digitatum in mandarins

(2008) J. Gómez-Sanchis et al.   JOURNAL OF FOOD ENGINEERING

Early detection of apple bruises on different background colors using hyperspectral imaging

(2007) Gamal ElMasry et al.   LWT-FOOD SCIENCE AND TECHNOLOGY