A method for automatic identification of crop lines in drone images from a mango tree plantation using segmentation over YCrCb color space and Hough transform

被引：5

作者：

Arango Quiroz, Ricardo A. ^{[1
]}

Guidotti, Fernada Pereira ^{[2
]}

Espinosa Bedoya, Albeiro ^{[1
]}

机构：

[1] Univ Nacl Colombia, Dept Ciencias Comp & Decis, Medellin, Colombia

[2] Univ Sao Paulo, Inst Math & Comp Sci, Sao Carlos, SP, Brazil

来源：

2019 XXII SYMPOSIUM ON IMAGE, SIGNAL PROCESSING AND ARTIFICIAL VISION (STSIVA) | 2019年

关键词：

Machine vision in agriculture; crop lines detection; UAV in agriculture; Hough transform; ROW DETECTION;

D O I：

10.1109/stsiva.2019.8730214

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Today, several applications use machine vision to product quality control, military industry, health, agriculture, and others. The crop lines are important in agricultural production since they allow to maximize the crop area useful and autonomous navigation through the crop. The use of machine vision in crop lines has addressed problems such as planting, fertilization, plant protection, weeding, and harvesting. In this paper, a method for segmentation stage use both on Y.Cr.Cb Color Space and Hough transform to find the tree crop lines in U.A.V (unmanned aerial vehicles) images acquired over a mango tree plantation. The proposed method has 86 percent of efficiency.

引用

页数：5

共 16 条

[1] A vision based row detection system for sugar beet [J].

Bakker, Tijmen ;

Wouters, Hendrik ;

van Asselt, Kees ;

Bontsema, Jan ;

Tang, Lie ;

Mueller, Joachim ;

van Straten, Gerrit .

COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2008, 60 (01) :87-95

[2]

Billingsley J., 2011, MACHINE VISION AGR, P433, DOI [10.1007/978-90-481-3585-1_268, DOI 10.1007/978-90-481-3585-1_268]

[3]

Bradski G., 2000, Opencv. Dr. Dobb's J. Softw. Tools, V3

[4]

Diao ZhiHua Diao ZhiHua, 2015, Transactions of the Chinese Society of Agricultural Engineering, V31, P47

[5] Review of Recent Machine-vision Technologies in Agriculture [J].

Ji, Bin ;

Zhu, Weixing ;

Liu, Bo ;

Ma, Changhua ;

Li, Xianfeng .

2009 SECOND INTERNATIONAL SYMPOSIUM ON KNOWLEDGE ACQUISITION AND MODELING: KAM 2009, VOL 3, 2009, :330-334

[6] Crop-row detection algorithm based on Random Hough Transformation [J].

Ji, Ronghua ;

Qi, Lijun .

MATHEMATICAL AND COMPUTER MODELLING, 2011, 54 (3-4) :1016-1020

[7] Line cluster detection using a variant of the Hough transform for culture row localisation [J].

Leemans, V ;

Destain, MF .

IMAGE AND VISION COMPUTING, 2006, 24 (05) :541-550

[8]

Lottes P., 2017, Proceedings - IEEE International Conference on Robotics and Automation, P3024, DOI [DOI 10.1109/ICRA.2017.7989347, 10.1109/ICRA.2017.7989347]

[9] Tracking of row structure in three crops using image analysis [J].

Marchant, JA .

COMPUTERS AND ELECTRONICS IN AGRICULTURE, 1996, 15 (02) :161-179

[10]

Ollis M, 1996, IEEE INT CONF ROBOT, P951, DOI 10.1109/ROBOT.1996.503895

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