Automatic Detection of White Grapes in Natural Environment Using Image Processing

被引：0

作者：

Reis, Manuel Cabral ^{[1
]}

Morais, Raul ^{[2
]}

Pereira, Carlos ^{[3
]}

Soares, Salviano ^{[1
]}

Valente, A. ^{[1
]}

Baptista, J. ^{[3
]}

Ferreira, Paulo J. S. G. ^{[4
]}

Cruz, J. B. ^{[3
]}

机构：

[1] IEETA UTAD, Dept Engn, P-5001801 Vila Real, Portugal

[2] CITAB UTAD, Dept Engn, P-5001801 Vila Real, Portugal

[3] UTAD, Dept Engn, P-5001801 Vila Real, Portugal

[4] Univ Santiago de Compostela, Santiago De Compostela, Spain

来源：

SOFT COMPUTING MODELS IN INDUSTRIAL AND ENVIRONMENTAL APPLICATIONS, 6TH INTERNATIONAL CONFERENCE SOCO 2011 | 2011年 / 87卷

关键词：

White grape detection; visual inspection; image processing; precision viticulture; RECOGNITION;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The rate of adoption of Precision Agriculture and Precision Viticulture production systems in the Douro Demarcated Region remains low. We believe that one way to raise it is to address challenging real-world problems whose solution offers a clear benefit to the viticulturist. For example, one of the most demanding tasks in wine making is harvesting. Even for humans, the detection of grapes in their natural environment is not always easy. White grapes are particularly difficult to detect, since their color is similar to that of the leafs. Here we present a low cost system for the detection of white grapes in natural environment color images. The system also calculates the probable location of the bunch stem and achieves 91% of correct classifications.

引用

页码：19 / 26

页数：8

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