Implementation of Water Quality Management Platform for Aquaculture Based on Big Data

Authors

  • D. Peeramma  PG Student, Department of CSE, VITS, Proddatur, Andhra Pradesh, India
  • U. Lokesh  Assistant Professor, Department of CSE, VITS, Proddatur, Andhra Pradesh, India

Keywords:

Aquaculture, Big Data, Aquaculture Farmers, Visualization.

Abstract

In the implementation of water quality management platform for aquaculture based on big data project, In order to ensure the quality and quantity of aquaculture, aquaculture farmers need to grasp the water quality in time. However, most farmers have to collect water quality data manually at present, and cannot store and reuse that information rapidly. This project aims to use spring boot platform of acquisition automation and visualization, which realizes the data analysis and display of heterogeneous water quality prediction and real-time warning. Meanwhile, it realizes the management of robots, users and breeding experts. The application of these platform better social benefits to aquaculture farmers.

References

  1. Pillay, The role of aquaculture in fishery development and management, journal fisheries research board of Canada, Vol 30, p 2202-2217, 1973.
  2. Kaloyanova, Information technologies and standards for agricultural information resources management, IAALD Quarterly Bulletin, LII, 1/2, 2007
  3. Sarada, Ravisankar, Krishnan Anandanarayanan, Instabilities in Indian seafood exports: sources, shortfalls and stabilization measures, a time series analysis, PROJECT NO. CIBA/SSD/03, CASE STUDY NO. CIBA/SSD/ JUNE 2005, 31P.
  4. Ayyapan, THE ECONOMIC TIMES, 2 Nov, 2007.
  5. Ayyappan & Diwan, 2004. Road map to increase fish production and productivity in India. Fishing chimes, 24(4): p24-26.
  6. Beggs, J.M. Bantham, & S. Taylor. (2008). Distinguishing the factors infuencing college students choice major College Students Jour. 42(2):381. 
  7. Blum, D. E. (1995). Coaches as role models. The Chronicles of higher Education 41(38):A35. 
  8. Brown D., Brooks L., and Associates. (1984). Career choice and Development. San Francisco, CA: Jossey-Bass Inc.
  9. Bureau, E. (2008). Performance indicators for Hong Kong Schools 2008 with Evidence of Performance. pp. p.27-28.
  10. Bureau E. (2014). Guide on Life Planning Education and Career Guidance for Secondary Schools, School Development Division.
  11. Darren F. (2013). Factors Affecting Career Choices of College Students Enrolled in Agriculture.
  12. A Research Paper Presented for the Master of Science in Agriculture and Natural Resources Degree, The University of Tennessee, Martin.
  13. Finalyson T., Kathy M. (2009). Perceptions of career Technical Education by Middle School and High School Counsellors and the Effects of these Perceptions on student Choice of Career and Educational Planning. UMI Dissertation Publishing.
  14. Finamore E. (2016, 11 2). New careers guidance tool for every secondary school in the country.
  15. Retrieved 2 24, 2017, from https://www.allaboutschoolleavers.co.uk/news/article/434/new-careers-guidance-tool-for-ckoo search algorithm, Soft Comput., vol. 23, no. 21, pp. 10681_10697, Nov. 2019.

IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2022-07-30

Issue

Volume 8, Issue 4, July-August-2022

Section

Research Articles

License

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Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
D. Peeramma, U. Lokesh, " Implementation of Water Quality Management Platform for Aquaculture Based on Big Data" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 8, Issue 4, pp.239-243, July-August-2022.