Development of a Vehicle-Mounted Crop Detection System

doi:10.1016/S2095-3119(13)60617-6

Journal of Integrative Agriculture ›› 2014, Vol. 13 ›› Issue (6): 1284-1292.DOI: 10.1016/S2095-3119(13)60617-6

Development of a Vehicle-Mounted Crop Detection System

ZHONG Zhen-jiang, SUN Hong, LI Min-zan, ZHANG Feng , LI Xiu-hua

Key Laboratory of Modern Precision Agriculture System Integration Research, Ministry of Education/China Agricultural University, Beijing 100083, P.R.China

收稿日期:2013-04-12 出版日期:2014-06-01 发布日期:2014-06-06
通讯作者: SUN Hong, Tel: +86-10-62737924, E-mail: sunhong@cau.edu.cn
作者简介:ZHONG Zhen-jiang, Tel: +86-10-62737924, E-mail: zhongzjsy08@gmail.com
基金资助:
This study was supported by the Key Technologies R&D Program of China during the 12th Five-Year Plan period (2012BAH29B04) and the National High-Tech R&D Program of China (2013AA102303, 2012AA101901).

Development of a Vehicle-Mounted Crop Detection System

ZHONG Zhen-jiang, SUN Hong, LI Min-zan, ZHANG Feng , LI Xiu-hua

Key Laboratory of Modern Precision Agriculture System Integration Research, Ministry of Education/China Agricultural University, Beijing 100083, P.R.China

Received:2013-04-12 Online:2014-06-01 Published:2014-06-06
Contact: SUN Hong, Tel: +86-10-62737924, E-mail: sunhong@cau.edu.cn
About author:ZHONG Zhen-jiang, Tel: +86-10-62737924, E-mail: zhongzjsy08@gmail.com
Supported by:
This study was supported by the Key Technologies R&D Program of China during the 12th Five-Year Plan period (2012BAH29B04) and the National High-Tech R&D Program of China (2013AA102303, 2012AA101901).

摘要/Abstract

摘要： In order to monitor plant chlorophyll content in real-time, a new vehicle-mounted detection system was developed to measure crop canopy spectral characteristics. It was designed to work as a wireless sensor network with one control unit and one measuring unit. The control unit included a personal digital assistant (PDA) device with a ZigBee wireless network coordinator. As the coordinator of the whole wireless network, the control unit was used to receive, display and store all the data sent from sensor nodes. The measuring unit consisted of several optical sensor nodes. All the sensor nodes were mounted on an on-board mechanical structure so that the measuring unit could collect the canopy spectral data while moving. Each sensor node contained four optical channels to measure the light radiation at the wavebands of 550, 650, 766, and 850 nm. The calibration tests verified a good performance in terms of the wireless transmission ability and the sensor measurement precision. Both stationary and moving field experiments were also conducted in a winter wheat experimental field. There was a high correlation between chlorophyll content and vegetation index, and several estimation models of the chlorophyll content were established. The highest R2 of the estimation models was 0.718. The results showed that the vehicle-mounted crop detection system has potential for field application.

关键词: optical sensor , vegetation index , chlorophyll content , ZigBee , wireless sensor network (WSN)

Abstract: In order to monitor plant chlorophyll content in real-time, a new vehicle-mounted detection system was developed to measure crop canopy spectral characteristics. It was designed to work as a wireless sensor network with one control unit and one measuring unit. The control unit included a personal digital assistant (PDA) device with a ZigBee wireless network coordinator. As the coordinator of the whole wireless network, the control unit was used to receive, display and store all the data sent from sensor nodes. The measuring unit consisted of several optical sensor nodes. All the sensor nodes were mounted on an on-board mechanical structure so that the measuring unit could collect the canopy spectral data while moving. Each sensor node contained four optical channels to measure the light radiation at the wavebands of 550, 650, 766, and 850 nm. The calibration tests verified a good performance in terms of the wireless transmission ability and the sensor measurement precision. Both stationary and moving field experiments were also conducted in a winter wheat experimental field. There was a high correlation between chlorophyll content and vegetation index, and several estimation models of the chlorophyll content were established. The highest R2 of the estimation models was 0.718. The results showed that the vehicle-mounted crop detection system has potential for field application.

Key words: optical sensor , vegetation index , chlorophyll content , ZigBee , wireless sensor network (WSN)

ZHONG Zhen-jiang, SUN Hong, LI Min-zan, ZHANG Feng , LI Xiu-hua. Development of a Vehicle-Mounted Crop Detection System[J]. Journal of Integrative Agriculture, 2014, 13(6): 1284-1292.

参考文献

Ai T C, Li F M, Zhou Z A, Zhang M, Wu H R. 2000. Relationship between chlorophyll meter readings (SPAD readings) and chlorophyll content of crop leaves. Journal of Hubei Agricultural College, 20, 6-8. (in Chinese)

Bell G E, Howell B M, Johnson G V, Raun W R, Solie J B, Stone M L. 2004. Optical sensing of turfgrass chlorophyll content and tissue nitrogen. American Society for Horticultural Science, 39, 1130-1132.

Deng X. 2010. Research and development of a wireless field sensor network based on ZigBee. MSc thesis, China Agricultural University, China. (in Chinese)

Esfahani M, Abbasi H R A, Rabiei B, Kavosi M. 2008. Improvement of nitrogen management in rice paddy fields using chlorophyll meter (SPAD). Paddy and Water Environment, 6, 181-188

Filella I, Serrano L, Serra J, Penuelas J. 1995. Evaluating wheat nitrogen status with canopy reflectance indices and discriminant analysis. Crop Science, 35, 1400-1405

Li M Z, Han D H, Wang X. 2006. Spectral Analyzing Technique and Applications. Science Press, Beijing, China. pp. 180-194. (in Chinese)

Liu H, Wang M H, Wang Y X, Ma D K, Li H X. 2008. Development of farmland soil moisture and temperature monitoring system based on wireless sensor network. Journal of Jilin University (Engineering and Technology Edition), 38, 604-608 (in Chinese)

Morais R, Fernandes M A, Matos S G. 2008a. A ZigBee multi-powered wireless acquisition device for remote sensing applications in precision viticulture. Computers and Electronics in Agriculture, 62, 94-106

Morais R, Matosb S G, Fernandes M A, Valente A L G, Salviano F S P, Ferreira P J S G, Reis M J C S. 2008b. Sun, wind and water flow as energy supply for small stationary data acquisition platforms. Computers and Electronics in Agriculture, 64, 120-132

Park D H, Kang B J, Cho K R. 2011. A Study on greenhouse automatic control system based on wireless sensor network. Wireless Personal Communications, 56, 117-130

Ruiz-Garcia L, Barreiro P, Robla J I. 2008. Performance of ZigBee-based wireless sensor nodes for real-time monitoring of fruit logistics. Journal of Food Engineering, 87, 405-415

Sui R, Wilkerson J B, Hart W E, Wilhelm L R, Howard D D. 2005. Multi-spectral sensor for detection of nitrogen status in cotton. Applied Engineering in Agriculture, 21, 167-172

Walburg G, Bauer M E, Daughtry C S T. 1982. Effects of nitrogen nutrition on the growth, yield and reflectance characteristic of corn canopies. Agronomy Journal, 74, 677-683

Xu Z G, Zhu Y, Jiao X L, Cao W X, Liu X Y. 2008. Design of optic system for crop nitrogen non-destructive monitoring instrument. Transactions of the Chinese Society of Agricultural Machinery, 39, 120-122 (in Chinese)

Xue L H, Cao W X, Luo W H, Zhang X. 2004. Correlation between leaf nitrogen status and canopy spectral characteristics in wheat. Acta Phytoecologica Sinica, 28, 172-177. (in Chinese)

Zhang X J, Li M Z, Cui D, Zhao P, Sun J Y, Tang N. 2006. New method and instrument to diagnose crop growth status in greenhouse based on spectroscopy. Spectroscopy and Spectral Analysis, 26, 887-890. (in Chinese)

Zhu X K, Sheng H J, Gu J, Zhang R, Li C Y. 2005. Primary study on application of SPAD value to estimate chlorophyll and nitrogen content in wheat leaves. Journal of Triticeae Crops, 25, 46-50. (in Chinese)

[1]	XIAO Fei, LI Yuan-zheng, DU Yun, LING Feng, YAN Yi, FENG Qi , BAN Xuan. Monitoring Perennial Sub-Surface Waterlogged Croplands Based on MODIS in Jianghan Plain, Middle Reaches of the Yangtze River[J]. Journal of Integrative Agriculture, 2014, 13(8): 1791-1801.
[2]	LIU Liang-yun, HUANG Wen-jiang, PU Rui-liang , WANG Ji-hua. Detection of Internal Leaf Structure Deterioration Using a New Spectral Ratio Index in the Near-Infrared Shoulder Region[J]. Journal of Integrative Agriculture, 2014, 13(4): 760-769.
[3]	ZHANG Feng, ZHANG Li-wen, WANG Xiu-zhen , HUNG Jing-feng. DetectingAgro-Droughts in Southwest of China Using MODIS Satellite Data[J]. Journal of Integrative Agriculture, 2013, 12(1): 159-168.
[4]	SONG Hui, GAO Jin-feng, GAO Xiao-li, DAI Hui-ping, ZHANG Pan-an, FENG Bai-li, WANG Peng-ke. Relations Between Photosynthetic Parameters and Seed Yields of Adzuki Bean Cultivars (Vigna angularis)[J]. Journal of Integrative Agriculture, 2012, 12(9): 1453-1461.
[5]	ZHUJuan-juan, LIANGYin-li, WUXing, HAOWang-lin. Leaf Gas Exchange, Chlorophyll Fluorescence, and Fruit Yield in Hot Pepper (Capsicum anmuum L.) Grown Under Different Shade and Soil Moisture During the Fruit Growth Stage[J]. Journal of Integrative Agriculture, 2012, 12(6): 927-937.
[6]	WANG Wei, YAO Xia, TIAN Yong-chao, LIU Xiao-jun, NI Jun, CAO Wei-xing , ZHU Yan. Common Spectral Bands and Optimum Vegetation Indices for Monitoring Leaf Nitrogen Accumulation in Rice andWheat[J]. Journal of Integrative Agriculture, 2012, 12(12): 2001-2012.
[7]	LI Zhao-jun, XIE Xiao-yu, ZHANG Shu-qing , LIANG Yong-chao. Negative Effects of Oxytetracycline on Wheat (Triticum aestivum L.) Growth, Root Activity, Photosynthesis, and Chlorophyll Contents [J]. Journal of Integrative Agriculture, 2011, 10(10): 1545-1553.

Development of a Vehicle-Mounted Crop Detection System

Development of a Vehicle-Mounted Crop Detection System

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 7

编辑推荐

Metrics