Design and Implementation of Service Platform for Wheat Nutrition Diagnosis

Ning Li, Jinyuan Zhang, Zhongliang Deng

Abstract

For the shortage about research and analysis of wheat farmers for current nutritional status and disease of wheat, diagnosing the disease of wheat reasonably, nutrition diagnosis system was designed and established a wheat nutrition diagnosis platform based on image processing. Combined with the needs analysis, researched the framework design and business processes of wheat nutrition diagnosis system, and designed a massive data warehouse model with complex data structures based on data management and nutritional model based on image processing. Furthermore, in connection with the application of the system in changge, Henan province, the core applications and key technologies of platform during the process of realization were explored and shared.

References

  1. C. W. Lin, K. F. Hsu and J. M. Hwang, "Specific lighting spectrum matching by normalized correlation coefficient and generalized reduced gradient method," 2014 9th International Microsystems, Packaging, Assembly and Circuits Technology Conference (IMPACT), Taipei, 2014, pp. 470-472.
  2. Donatas Aviža,Zenonas Turskis,Arturas Kaklauskas. A Multiple criteria decision support system for analyzing the correlation between the thickness of a thermoinsulation layer and its payback period of the external wall [J]. Journal of Civil Engineering and Management, 2015, 216.
  3. G. Bavota, "Mining Unstructured Data in Software Repositories: Current and Future Trends," 2016 IEEE 23rd International Conference on Software Analysis, Evolution, and Reengineering (SANER), Suita, 2016, pp. 1-12.
  4. L. Jiang, J. Xu, B. Xu and H. Cai, "An automatic method of data warehouses multi-dimension modeling for distributed information systems," Computer Supported Cooperative Work in Design (CSCWD), 2011 15th International Conference on, Lausanne, 2011, pp. 9- 16.
  5. Paradiso, Sean P.; Delaney, Kris T.; Fredrickson, Glenn H, “Swarm Intelligence Platform for Multiblock Polymer Inverse Formulation Design”, ACS MACRO LETTERS, 2016, 5(8):972-976.
  6. P. Wuttisarnwattana, "Automatic whole mouse segmentation for cryo-imaging data using DRLSE model," 2016 13th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), Chiang Mai, Thailand, 2016, pp. 1-5.
  7. R. Sethuraman, P. Hema and R. G. Priya, "Semantic web services based implementation of home appliances into ZigBee coordinators network," 2016 Second International Conference on Science Technology Engineering and Management (ICONSTEM), Chennai, India, 2016, pp. 130-134.
  8. Reckling, Moritz; Hecker, Jens-Martin; Bergkvist, Goeran, “A cropping system assessment frameworkEvaluating effects of introducing legumes into crop rotations” J. EUROPEAN JOURNAL OF AGRONOMY ,2016,76: 186-197.
  9. Sathyanarayana, Sushanth; Akopian, David; Agaian, Sos, “An Adaptive LMS Technique for Wavelet Polynomial Threshold Denoising”, Proceedings of SPIE, 2011.
  10. Takashi Ohnishi,Yuka Nakamura,Toru Tanaka,Takuya Tanaka, Noriaki Hashimoto, Hideaki Haneishi,Jennie Taylor,Matija Snuderl, Yukako Yagi. “Deformable image registration between pathological images and MR image via an optical macro image” J. Pathology - Research and Practice, 2016.
  11. Tsou, Ming-Cheng, “Online analysis process on Automatic Identification System data warehouse for application in vessel traffic service”, Proceedings of the Institution of Mechani-Cal Engineers Part MJournal of Engineering for the Maritime Environment, 2016,230(1):199-215.
  12. Wali, Emal; Datta, Avishek; Shrestha, Rajendra P , “Development of a land suitability model for saffron (Crocus sativus L.) cultivation in Khost Province of Afghanistan using GIS and AHP techniques” J . ARCHIVES OF AGRONOMY AND SOIL SCIENCE, 2016, 62 ( 7 ) : 921- 934.J. Clerk Maxwell, A Treatise on Electricity and Magnetism, 3rd ed., vol. 2. Oxford: Clarendon, 1892, pp.68-73.
  13. Xiao Qian; Ge Gang; Wang Jianhui, “The Neural Network Adaptive Filter Model Based on Wavelet Transform”, HIS 2009: 2009 Ninth International Conference on Hybrid Intelligent Systems, Vol 1, Proceedings, 2016:529-534.
  14. Y. q. Qi, Z. y. Duan and X. Lv, "Research of cotton canopy characteristic information by hyperspectral remote sensing data," Computer Science & Education (ICCSE), 2013 8th International Conference on, Colombo, 2013, pp. 892-896.
  15. Yin, Xiaogang, Olesen, Jorgen E., Wang, Meng, “Impacts and adaptation of the cropping systems to climate change in the Northeast Farming Region of China” J. European Journal of Agronom, 2016, 78:60-72.
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Paper Citation


in Harvard Style

Li N., Zhang J. and Deng Z. (2016). Design and Implementation of Service Platform for Wheat Nutrition Diagnosis . In ISME 2016 - Information Science and Management Engineering IV - Volume 1: ISME, ISBN 978-989-758-208-0, pages 283-288. DOI: 10.5220/0006449102830288


in Bibtex Style

@conference{isme16,
author={Ning Li and Jinyuan Zhang and Zhongliang Deng},
title={Design and Implementation of Service Platform for Wheat Nutrition Diagnosis},
booktitle={ISME 2016 - Information Science and Management Engineering IV - Volume 1: ISME,},
year={2016},
pages={283-288},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006449102830288},
isbn={978-989-758-208-0},
}


in EndNote Style

TY - CONF
JO - ISME 2016 - Information Science and Management Engineering IV - Volume 1: ISME,
TI - Design and Implementation of Service Platform for Wheat Nutrition Diagnosis
SN - 978-989-758-208-0
AU - Li N.
AU - Zhang J.
AU - Deng Z.
PY - 2016
SP - 283
EP - 288
DO - 10.5220/0006449102830288