Grain quality evaluation by computer vision
作者： D.S. Jayas , C.B. Singh
DOI: 10.1533/9780857095770.3.400
关键词:
摘要: Abstract: Grain quality is defined by several factors such as physical (moisture content, bulk density, kernel size, hardness, vitreousness, density and damaged kernels), safety (fungal infection, mycotoxins, insects mites their fragments, foreign material odour dust) compositional (milling yield, oil protein starch content viability). This chapter discusses computer vision technologies colour imaging, hyperspectral X-ray imaging thermal reviews applications in grain evaluation based on the above described factors.
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