Applications of computer vision techniques in the agriculture and food industry: a review

被引：89
|
作者：
Santos Gomes, Juliana Freitas [1 ,2 ]
Leta, Fabiana Rodrigues [2 ]
机构：
[1] Brazilian Natl Inst Metrol Qual & Technol Inmetro, Opt Metrol Div Diopt, Colorimetry & Spectrophotometry Lab Lacoe, BR-25250020 Duque De Caxias, RJ, Brazil
[2] Univ Fed Fluminense UFF, Programa Posgrad Engn Mecan PGMEC, Computat & Dimens Metrol Lab LMDC, BR-24210240 Niteroi, RJ, Brazil
来源：
EUROPEAN FOOD RESEARCH AND TECHNOLOGY | 2012年 / 235卷 / 06期
关键词：
Computational vision; Precision farming; Food industry; Food; Visual inspection; Image analysis; MACHINE VISION; IMAGE-ANALYSIS; QUALITY EVALUATION; NEURAL-NETWORK; CEREAL-GRAINS; COLOR; SYSTEM; CLASSIFICATION; DEFECTS; CITRUS;
D O I：
10.1007/s00217-012-1844-2
中图分类号：
TS2 [食品工业];
学科分类号：
0832 ;
摘要：
Over the last decades, parallel to technological development, there has been a great increase in the use of visual inspection systems. These systems have been widely implemented, particularly in the stage of inspection of product quality, as a means of replacing manual inspection conducted by humans. Much research has been published proposing the use of such tools in the processes of sorting and classification of food products. This paper presents a review of the main publications in the last ten years with respect to new technologies and to the wide application of systems of visual inspection in the sectors of precision farming and in the food industry.
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页码：989 / 1000
页数：12
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