Design and implementation of an embedded automatic plant recognition system

CHEN Fang; ZHANG Guangqun; CUI Kunpeng; WANG Hangjun

doi:10.11833/j.issn.2095-0756.2013.03.012

Volume 30 Issue 3

May 2013

Turn off MathJax

Article Contents

Article Navigation > Journal of Zhejiang A&F University > 2013 > 30(3): 379-384

CHEN Fang, ZHANG Guangqun, CUI Kunpeng, WANG Hangjun. Design and implementation of an embedded automatic plant recognition system[J]. Journal of Zhejiang A&F University, 2013, 30(3): 379-384. doi: 10.11833/j.issn.2095-0756.2013.03.012

Citation:

CHEN Fang, ZHANG Guangqun, CUI Kunpeng, WANG Hangjun. Design and implementation of an embedded automatic plant recognition system[J]. Journal of Zhejiang A&F University, 2013, 30(3): 379-384. doi: 10.11833/j.issn.2095-0756.2013.03.012

Design and implementation of an embedded automatic plant recognition system

doi: 10.11833/j.issn.2095-0756.2013.03.012

1.
School of Information Engineering，Zhejiang A & F Uniersity，Lin’an 311300，Zhejiang，China;
2.
College of Tianmu，Zhejiang A & F Uniersity，Lin’an 311300，Zhejiang，China

More Information

Corresponding author: WANG Hangjun
Received Date: 2012-05-23
Rev Recd Date: 2012-10-07
Publish Date: 2013-06-20

Abstract

To identify plant categories based on steady characteristics of leaves with embedded techniques and image processing technology，a system was designed and implemented based on Ubuntu 10.04，Qt Creator1.3.1，and UP-NETARM2410-S board developed by Bochuang Company. The system includes four steps：（1） collecting leaves and taking images，（2） preprocessing images （transform them into grayscale images and extracting the contours），（3） extracting shape features （including leaf shape，complexity，and eccentricity），and （4） matching and recognizing the leaves. The results showed that this system can accurately recognize Ginkgo biloba，Cinnamomum camphora，Sapindus saponaria，and plant leaves from nine other species. ［Ch，6 fig. 1 tab. 13 ref.］
- botany,
- leaf recognition,
- image process,
- embedded,
- feature extracting

Relative Article

[1]	YU Minyi, YU Kaikai, FEI Cong, KE Weiyu, WU Yefei, ZHANG Zhenzi, BAO Zehang, LIN Haichen, LI Feifei, CHEN Guolin, LÜ Zunfu. Characteristics and diagnosis of nitrogen nutrition for rice canopy leaf SPAD value changes . Journal of Zhejiang A&F University, 2019, 36(5): 950-956. doi: 10.11833/j.issn.2095-0756.2019.05.014
[2]	WANG Li, HONG Zubing, FANG Luming, CHEN Xun, WU Chao. iOS-based recognition of ornamental plants . Journal of Zhejiang A&F University, 2018, 35(5): 900-907. doi: 10.11833/j.issn.2095-0756.2018.05.015
[3]	XIN Jianpan, SUN Xinxin, TIAN Runan. Floristic diversity and fundamental characteristics of seed plants on Mount Jiangjun, Nanjing . Journal of Zhejiang A&F University, 2017, 34(4): 629-636. doi: 10.11833/j.issn.2095-0756.2017.04.008
[4]	ZHANG Guangqun, LI Yingjie, WANG Hangjun. Classification of forestry images based on the BoW Model . Journal of Zhejiang A&F University, 2017, 34(5): 791-797. doi: 10.11833/j.issn.2095-0756.2017.05.004
[5]	XU Jie, QI Dawei. Feature point extraction based nondestructive measuring methods of tree growth status . Journal of Zhejiang A&F University, 2016, 33(3): 403-408. doi: 10.11833/j.issn.2095-0756.2016.03.005
[6]	YAO Fei, YE Kang, ZHOU Jianhua. Automatic image classification and retrieval by analyzing plant leaf features . Journal of Zhejiang A&F University, 2015, 32(3): 426-433. doi: 10.11833/j.issn.2095-0756.2015.03.015
[7]	ZHENG Jie, LIU Fang, WU Xingbo, XU Gaiping, DING Qianqian, GAO Yan, ZHANG Rumin. Research of the aquatic extract from leaves of Trifolium repens to several garden plants . Journal of Zhejiang A&F University, 2014, 31(1): 19-27. doi: 10.11833/j.issn.2095-0756.2014.01.004
[8]	LU Minjia, JIANG Yurong, CHEN Guolin, MAO Qian, LU Guoquan. Flavonoid extraction and flavonoid content with genotypic variation from Chenopodium quinoa leaves . Journal of Zhejiang A&F University, 2014, 31(4): 534-540. doi: 10.11833/j.issn.2095-0756.2014.04.007
[9]	LIU Xinxin, ZHANG Mingru, ZOU Linli, WU Gang, YIN Zhuoyue, Lü Chengxiang. Leaf anatomical structure for 15 tree species’ seedlings in Zhejiang Province . Journal of Zhejiang A&F University, 2013, 30(4): 484-489. doi: 10.11833/j.issn.2095-0756.2013.04.004
[10]	FAN Er-qi, WANG Yun-hua, GUO Ye, YU Chun-lian, LIN Xin-chun. Chemical components of essential oils from leaves of six Magnoliaceae species using GC-MS . Journal of Zhejiang A&F University, 2012, 29(2): 307-312. doi: 10.11833/j.issn.2095-0756.2012.02.023
[11]	XU Yong, SUN Jun-wei, CHEN Zhen. Plant growth regulator treatments for a tissue culture of Euodia rutaecarpa . Journal of Zhejiang A&F University, 2011, 28(3): 500-504. doi: 10.11833/j.issn.2095-0756.2011.03.024
[12]	KONG Hong, CHENG Fang-yun. Cytological and molecular biological evidence for taxonomic revision of Paeonia delavayi . Journal of Zhejiang A&F University, 2010, 27(4): 601-605. doi: 10.11833/j.issn.2095-0756.2010.04.021
[13]	FANG Yi－ming, ZHENG Hong－ping, FENG Hai－lin. Feature extraction and recognition of wood micrograph based on FFT and ICA . Journal of Zhejiang A&F University, 2010, 27(6): 826-830. doi: 10.11833/j.issn.2095-0756.2010.06.004
[14]	ZHANG Jun-hui, JINZe-xin. Anti-bacterial activity of leaf extracts from Heptacodium miconioides . Journal of Zhejiang A&F University, 2007, 24(3): 369-371.
[15]	JIN Ze-xin, LI Jun-min. Anti-bacterial activity of extracts from Heptacodium miconioides . Journal of Zhejiang A&F University, 2006, 23(3): 306-310.
[16]	LUO Jian, ZHENG Wei-lie, XING Zhen, BIANBA Dorgyi. Characteristics analysis on plant resources of Mila mountains in Tibet . Journal of Zhejiang A&F University, 2004, 21(3): 275-280.
[17]	LIN Xin-chun, YU Zhi-xiong. Characters of leaf epidermis of Magnoliaceae and its taxonomic significance . Journal of Zhejiang A&F University, 2004, 21(1): 33-39.
[18]	QI Heng-nian. Automatically obtaining of apearance features and computer-aided plant classification and identification QI Heng-nian . Journal of Zhejiang A&F University, 2004, 21(2): 222-227.
[19]	TAN Zhong-qi, LIN Yi-ming, XIANG Ping, DING Yin-long, PENG Zai-qing. Caloric value and ash content in the leaves at the different development stages of five Ficus species . Journal of Zhejiang A&F University, 2003, 20(3): 264-267.
[20]	QI Heng-nian, SHOU Tao, JIN Shui-hu. Leaf characteristics-based computer-aided plant identification model . Journal of Zhejiang A&F University, 2003, 20(3): 281-284.

References
Proportional views

通讯作者: 陈斌, bchen63@163.com

1.
沈阳化工大学材料科学与工程学院沈阳 110142

Get Citation

PDF

XML

Article views(6280) PDF downloads(1915) Cited by()

Proportional views

Design and implementation of an embedded automatic plant recognition system

1. School of Information Engineering，Zhejiang A & F Uniersity，Lin’an 311300，Zhejiang，China;

2. College of Tianmu，Zhejiang A & F Uniersity，Lin’an 311300，Zhejiang，China

Corresponding author: WANG Hangjun

Received Date: 2012-05-23

Rev Recd Date: 2012-10-07

Publish Date: 2013-06-20

Key words:

Abstract: To identify plant categories based on steady characteristics of leaves with embedded techniques and image processing technology，a system was designed and implemented based on Ubuntu 10.04，Qt Creator1.3.1，and UP-NETARM2410-S board developed by Bochuang Company. The system includes four steps：（1） collecting leaves and taking images，（2） preprocessing images （transform them into grayscale images and extracting the contours），（3） extracting shape features （including leaf shape，complexity，and eccentricity），and （4） matching and recognizing the leaves. The results showed that this system can accurately recognize Ginkgo biloba，Cinnamomum camphora，Sapindus saponaria，and plant leaves from nine other species. ［Ch，6 fig. 1 tab. 13 ref.］

Design and implementation of an embedded automatic plant recognition system

doi: 10.11833/j.issn.2095-0756.2013.03.012

Abstract

References

Proportional views

通讯作者: 陈斌, bchen63@163.com

Related

Proportional views