STUDY OF AN AUTOMATIC OLIVES SORTING SYSTEM

被引：0
|
作者：
Babanatis Merce, Roxana Mihaela [1 ]
Babanatsas, Theoharis [1 ]
Maris, Stefan [1 ]
Tucu, Dumitru [1 ]
Ghergan, Oana Corina [1 ]
机构：
[1] Politehn Univ Timisoara, Dept Mech Machines Equipment & Transportat, Mihai Viteazu St 1, Timisoara, Romania
来源：
ACTUAL TASKS ON AGRICULTURAL ENGINEERING | 2018年 / 46卷
关键词：
green olive; black olive; unripe olive; ripe olive; image recognition; nutrition; SPECTROSCOPY; DAMAGE;
D O I：
暂无
中图分类号：
S2 [农业工程];
学科分类号：
0828 ;
摘要：
The paper presents the results of study of an automatic selection system for olives. During the harvesting of olives, mechanical or automatic, the olives can be black (the ripe olives on tree), or green (the olives that are unripe). It is important to select the black olives from the green olives. After this stage we must select, in both case black and green, the olive that are good for consumer, and the other olives which are good for processing oil. This selection is based on colors and image recognition. Because the green olives have different nutrition facts and differed acidity on oil, the storage is separately for the green, and black, such step being very important. The paper proposes an original method for recognition ripe olive from unripe olive based on color. For study was used an image recognition system based on colors from olives that was picked manual. It was analyzed the accurate of results from this experiment to determine the optimal parameters
引用
收藏
页码：485 / 490
页数：6
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