Image processing methods to evaluate tomato and zucchini damage in post-harvest stages
Abstract
Keywords: image processing, color space, smartphone, efficient stitching, homography, controlled supervision, artificial vision, embedded parallel processing, injury assessment, traceability, post-harvest control, feature detection
DOI: 10.25165/j.ijabe.20171005.3087
Citation: Alvarez-Bermejo J A, Giagnocavo C, Li M, Morales C E, Santos D P M, Yang X T. Image processing methods to evaluate tomato and zucchini damage in post-harvest stages. Int J Agric & Biol Eng, 2017; 10(5): 126–133.
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