An Effective Fuzzy Controlled Filter for Feature Extraction Method

被引:0
作者
Alshahadat, Mohamad [1 ]
Bilgehan, Bulent [1 ]
Kavalcioglu, Cemal [1 ]
机构
[1] Near East Univ, Fac Engn, Dept Elect & Elect Engn, Mersin 10, TR-99138 Nicosia, Trnc, Turkey
来源
13TH INTERNATIONAL CONFERENCE ON THEORY AND APPLICATION OF FUZZY SYSTEMS AND SOFT COMPUTING - ICAFS-2018 | 2019年 / 896卷
关键词
Computer vision; Cypriot/mediterranean strawberry; Fungi-infection; Band-pass filter; Filter coefficients;
D O I
10.1007/978-3-030-04164-9_15
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Atomization of agricultural tasks such as disease removal is increasingly growing in European countries and thus accurate techniques are significantly required for efficient use of chemicals e. g. pesticides. In the present study, a computer vision-based technique is proposed which can be used for site specific spread of anti-fungal chemicals on strawberry leaves which alleviates yield's quality and quantity. The proposed technique mainly constitutes a bandpass filter for fungi-infection localization. The merit of this research work is taking into account human perception of fungi visual aspects to lower the computational load and ease the deploying technique on single chip processor for real-time application.
引用
收藏
页码:91 / 98
页数:8
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