Image acquisition system for agricultural context-aware computing
Abstract
Keywords: image acquisition, agriculture, context-aware computing
DOI: 10.3965/j.ijabe.20140704.008
Citation: Xiao B X, Wang C Y, Guo X Y, Wu S. Image acquisition system for agricultural context-aware computing. Int J Agric & Biol Eng, 2014; 7(4): 75-80.
Keywords
Full Text:
PDFReferences
Cox S. Information technology: the global key to precision agriculture and sustainability. Computers and Electronics in Agriculture, 2002; 36, (2-3): 93–111.
He Y. Zhao C J, Wu D, Nie P C, Feng L. Fast detection technique and sensor instruments for crop-environment information: A review. Science in China Series F: Information Science, 2010; 40(s1): 1–20. (In Chinese)
Xiao B X, Guo X Y, Guo X D, Du J J. An intelligent decision model and system for maize precise production and management. ICIC Express Letters, Part B: Applications, 2012; 3(4): 1363–1368.
Zhang N Q, Wang M H, Wang N. Precision agriculture-a worldwide overview. Computers and Electronics in Agriculture, 2002; 36(1): 113–132.
Zhou L L, Song L T, Xie C J, Zhang J. Applications of Internet of Things in the facility agriculture. Proc. of Advances in Information and Communication Technology, springer, 2011; 392: 297–303.
Zhang F J. Research on applications of Internet of Things in agriculture. Lecture Notes in Electrical Engineering, 2013; 209: 69–75.
Cui D, Li M Z, Zhu Y, Cao W X, Zhang X J. Monitoring crop growth status based on optical sensor. Proc. of First IFIP TC 12 International Conference on Computer and Computing Technologies in Agriculture (CCTA 2007), 2007; 1397–1401.
Cheng K, Cheng X L, Shang X N, Teng S W. Design of Plant Growth Status Analyzer Based on Photoelectric Technology. Proc. of International Conference on Electronics and Optoelectronics (ICEOE), 2011; 426–429.
Patel N K, Patnaik C, Dutta S, Shekh A M, Dave A J. Study of crop growth parameters using Airborne Imaging spectrometer data. Int J Remote Sens, 2001; 22: 2401-2411.
Dey A. Providing Architectural Support for Building Context Aware Applications, PhD Thesis. Atlanta: Georgia Institute of Technology, 2000.
Chen H. An Intelligent Broker Architecture for Pervasive Context-Aware Systems, PhD Thesis. Baltimore County: University of Maryland, 2004.
Gu J Z. Context aware computing. Journal of East China Normal University (Natural Science), 2009; 9(5): 1–20. (In Chinese)
Hu S Q, Wang H O, She C D, Wang J F. AgOnt: Ontology for Agriculture Internet of Things. Proc. of Advances in Information and Communication Technology, 2011, 344: 131–137.
Zhang C L, Shen W Z. Application of Internet of Things in agriculture. Journal of Northeast Agricultural University, 2011; 42(5): 1–5. (In Chinese)
Zhang L, Yu H, Ma X M. Information system platform for quality and security of agricultural products based on Internet of Things. Science in China Series F: Information Science,
; 40(s1): 216–225. (In Chinese)
Brosnan T, Sun D W. Inspection and grading of agricultural and food products by computer vision systems-a review. Computers and Electronics in Agriculture, 2002; 36(2-3): 193–213.
Lin K Y, Xu L H, Wu J H. Advances in the application of computer-vision to plant growth monitoring. Transactions of the CSAE, 2004; 20(2): 279–283. (In Chinese)
Yang H Y, Tang G J. Target visibility and measure precision analysis of stereo vision systems. Systems Engineering and Electronics, 2012; 34(9): 1889–1894. (In Chinese)
Xiong Y J. Shen M X, Sun Y W, Xu Y, Lin X Z. Design on system of acquisition and wireless transmission for farm land image. Transactions of the Chinese Society for Agricultural Machinery, 2011; 42(3): 184–187. (In Chinese)
Li Y F. Studies on method of getting geometrical shape data of vegetal leaves based on image processing (Degree). Northeast Agricultural University, 2006.
Copyright (c)