Development of portable user-interactive holographic information collector for agricultural product markets
Abstract
Keywords: agricultural product market, holographic information, portable, user-interactive, information collector, monitoring and early warning
DOI: 10.25165/j.ijabe.20201303.5845
Citation: Xu S W, Li D H, Zhang Y E, Chen W, Zhuang J Y, Liu J J, et al. Development of portable user-interactive holographic information collector for agricultural product markets. Int J Agric & Biol Eng, 2020; 13(3): 143–153.
Keywords
Full Text:
PDFReferences
Huang J K, Yang J, Chou H G, Xu Z G. The great ups and downs of grain prices of this round: The main reasons and the future trend. Management Word, 2009; 1: 72–78.
Xu S W, Li G Q, Li Z M. China agricultural outlook for 2015–2024 based on China Agricultural Monitoring and Early-warning System (CAMES). Journal of Integrative Agriculture, 2015; 14(9): 1889–1902.
Pang Z B, Chen Q, Han W L, Zheng L R. Value-centric design of the internet-of-things solution for food supply chain: Value creation, sensor portfolio and information fusion. Information Systems Frontiers, 2015; 17: 289–319.
Zhang B, Zhang W, Qi L Q, Fu H B, Yu L, Li R, et al. Information acquisition system of multipoint soil surface height variation for profiling mechanism of seeding unit of precision corn planter. Int J Agric & Biol Eng, 2018; 11(6): 58–64.
Vijay G, Bdira E B A, Ibnkahla M. Cognition in wireless sensor networks: A perspective. IEEE sensors journal, 2011; 11(3): 582–592.
Deng M X, Di L P, Han W G, Yağcı A L, Peng C M, Heo G. Web-service-based monitoring and analysis of global agricultural drought. Photogrammetric Engineering & Remote Sensing, 2013; 79(10): 929–943.
Yin Y X, Chen L P, Meng Z J, Li B, Luo C H, Fu W Q, et al. Design and evaluation of a maize monitoring system for precision planting. Int J Agric & Biol Eng, 2018; 11(4): 186–192.
Walter A, Finger R, Huber R, Buchmann N. Opinion: Smart farming is key to developing sustainable agriculture. PNAS, 2017; 114(24): 6148–6150.
Qin Z, Compton B G, Lewis J A, Buehler M J. Structural optimization of 3D-printed synthetic spider webs for high strength. Nature Communications, 2015; 6: 7038.
Yu H, Yang J L, Sun Y X. Energy absorption of spider orb webs during prey capture: A mechanical analysis. Journal of Biomimetic Engineering, 2015; 12(3): 453–463.
Liu J G, Zhao C J, Yang G J, Yu H Y, Zhao X Q, Xu B, et al. Review of field-based phenotyping by unmanned aerial vehicle remote sensing platform. Transactions of the CSAE, 2016; 32(24): 98–106. (in Chinese)
He Y, Nie P C, Liu F. Advancement and trend of internet of things in agriculture and sensing instrument. Transactions of the CSAM, 2013; (10): 216–226. (in Chinese)
Misra S, Krishna P V, Saritha V, Agarwal H, Shu L, Obaidat M S. Efficient medium access control for cyber–physical systems with heterogeneous networks. IEEE systems journal, 2015; 9(1): 22–30.
Ruiz G L, Lunadei L. The role of RFID in agriculture: applications, limitations and challenges. Computers and Electronics in Agriculture, 2011; 1(1): 42–50.
Oliveira J L., Xin H W, Wang K L, Zhao Y. Evaluation of nesting behavior of individual laying hens in an enriched colony housing by using RFID technology. Int J Agric & Biol Eng, 2019; 12(6): 7–15.
Ahumada O, Villalobos J R, Mason A N. Tactical planning of the production and distribution of fresh agricultural products under uncertainty. Agricultural Systems, 2012; 112: 17–26.
Li Z R. Design of aquaculture network monitoring system based on embedded Linux. Journal of Agricultural Mechanization Research, 2019; 41(11): 229–233. (in Chinese)
Sun X, Yang Y S, Liu C X, Guo H P. Design and development of near field communication intelligent data acquisition terminal system in fresh agricultural product supply chain. Transactions of the CSAE, 2015; 31(8): 200–206. (in Chinese)
Xu S W. Agricultural big data and monitoring and early warning of
agricultural products. Journal of Agricultural Science and Technology, 2014; 16(5): 14–20. (in Chinese)
United States Department of Agriculture. https://www.usda.gov/.
Australian Department of Agriculture. https://www.agriculture.gov.au/.
Australian Bureau of Statistics. https://www.abs.gov.au/.
Commonwealth Scientific and Industrial Research Organisation (CSIRO). https://www.csiro.au/
Agriculture, forestry and fisheries. http://www.maff.go.jp/.
Zhao Y S, Wang X D, Zhao A P, Ge X S. Research on the construction of information system of foreign agricultural products market. World Agriculture, 2012; 10: 36–41.
Singh G, Junghare A, Chokhani P. Multiutility E-controlled cum voice operated farm vehicle. International Journal of Computers & Applications, 2010; 1(13): 109–113.
Plauche M, Nallasamy U, Pal J, Wooters C, Ramachandran D. Speech recognition for illiterate access to information and technology. 2006 International Conference on Information and Communication Technologies and Development, Berkeley: IEEE, 2006; pp.83–92.
Daniel S, Daniel P, Jochen S. REST-based meta web services in mobile application frameworks. The Fourth International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies (UBICOMM2010), 2010; pp.170–175.
Owusu A B, Yankson P W K, Frimpong S. Small holder farmers' knowledge of mobile telephone use: Gender perspectives and implications for agricultural market development. Progress in Development Studies, 2018; 18(1): 36–51.
Nakasone E, Torero M, Minten B. The power of information: The ICT revolution in agricultural development. Annual Review of Resource Economics, 2013; 6(1): 533–550.
See L D, Fritz S, You L Z. Improved global cropland data as an essential ingredient for food security. Global Food Security, 2015; 4: 37–45.
Sydney A, Scoglio C, Gruenbacher D. Optimizing algebraic connectivity by edge rewiring. Applied Mathematics and computation, 2013; 219(10): 5465–5479.
Song A B, Wan Y T, Gong H, Xue Y Y. Research on storage and query of large-scale multidimensional data. Computer Engineering and Applications, 2016; 52(13): 25–31.
Qu B, Wu Z Z. Design of ARM based embedded operating system micro
kernel. Applied Mechanics and Materials, 2013; 347-350: 1799–1803.
Zhang S R, Zheng W G, Shen C J, Xing Z. Agricultural product price Information collection terminal of embedded portable wireless. Computer Engineer and Design, 2012; 33(2): 514–518.
Zheng L X. Embedded Linux system design. Beijing: Beijing University of Aeronautics and Astronautics Press, 2008; pp.195–200.
Yuan J P, Chen K, Huang J, Li L H, Yang Y, Zhu D H, et al. A novel generic concept hierarchy encoding algorithm. Computer Engineering, 2006; 32(12): 17–21. (in Chinese)
Cui Y, Duan F, Zhang Y J. Scene classification based on coding layer feature combination. Journal of Jilin University (Engineering and Technology Edition), 2013; 43: 450–454. (in Chinese)
Xin L Y, Wang L J, Song Z W, Jia B H. Research on popularization and application of “Nongxincai” software in Tianjin. Tianjin Agricultural Sciences, 2017; 23(6): 45–47. (in Chinese)
Liu J H. Research on popularization and application of "portable market information collector for agricultural products" in Fujian Province. Fujian Agricultural Science and Technology, 2015; 8: 82–84. (in Chinese)
Li Y, Wang H L, Zhang Y, Zhang H F, Zhang Y, Wang X N. The analysis of vegetable prices fluctuation in Heilongjiang Province based on the data of "agricultural credit". Vegetables, 2018; 1: 66–70. (in Chinese)
Cheng L Q. Research on the effect of data constraint on data quality. Journal of Yangtze University (Nature Science Edition), 2011; 8(5): 100–102. (in Chinese)
Liu J J, Cao W J. Data quality management strategy in large data environment. Software Guide, 2017; 16(3): 176–179. (in Chinese)
Du Y X, Zhang Z T, Li B S, Qin L. Design of Hulun Lake environment information acquisition system based on letts criterion improved algorithm. Modern Electronics Technique, 2016; 39(24): 30–33.
Wu Y L, Yang Na, Pan X H, Wang W H. Temperature and humidity detection system based on letts criterion and data fuse. Bulletin of Science and Technology, 2017; 33(3): 96–99. (in Chinese)
Zeng W, Zhao Y H. Parallel eigenvalue calculation based on spectrum division method for sparse matrix. Journal on Numerical Methods and Computer Applications, 2015; 36(2): 132–141. (in Chinese)
Yang G L, Luo L, Lu H R, Feng Y Q, Liang L M. Face recognition based on matrix regression with low rank and e-p sparse constraints. Computer Science, 2015; 42: 180–184. (in Chinese)
Copyright (c) 2020 International Journal of Agricultural and Biological Engineering
This work is licensed under a Creative Commons Attribution 4.0 International License.