Irwin R. Donis-González

TL;DR: It has been estimated that one-third of global food is lost or wasted, entailing significant environmental, economic, and social costs as mentioned in this paper. But the scale and impact of food loss and waste has attract...

TL;DR: In this article, medical grade computed tomography (CT) was used to obtain transversal two-dimensional (2D) images from several fresh agricultural product phenomena CT scanning was performed by placing and securing numbered samples onto a whole polyethylene sheet, placed on the CT scanner table Phenomena included the internal decay of chestnuts (Castanea spp), internal defects in pickling cucumbers (Cucumis sativus), translucency disorder in pineapples (Ananas comosus), pit presence in tart cherries (Prunus

TL;DR: In this paper, the potential for rapid electronic estimation of glucose, sucrose, specific gravity, primordial leaf count, and soluble solids of (FL) (chipping) and Russet Norkotah (RN) (table) potato cultivars was evaluated.

TL;DR: In this article, a computer vision methodology is proposed to sort chestnuts into five classes, as established by an expert human rater 1790 color images from slices with different quality classes were acquired, using a flat panel scanner, from the hybrid cultivar ‘Colossal’ and ‘Chinese seedlings.

TL;DR: An image analysis method for the automatic classification of CT images obtained from 2848 fresh chestnuts, during the harvesting years from 2009 to 2012, is developed and tested and is applicable to automatic noninvasive inline CT sorting system development.