Innovation Platform Design of Pisciculture Under the Background of Bigdata
P. Senthil1, S. Deepika2, R. Rethika3, R. Priyadas4, Sai Sowmya Donthu5

1P. Senthil, Assistant Professor, Department of Information Technology, S. A. Engineering College, Chennai (Tamil Nadu), India.
2S. Deepika, UG Scholar, Department of Information Technology, S. A. Engineering College, Chennai (Tamil Nadu), India
3R. Rethika, UG Scholar, Department of Information Technology, S. A. Engineering College, Chennai (Tamil Nadu), India.
4R.Priyadas, UG Scholar, Department of Information Technology, S. A. Engineering College, Chennai (Tamil Nadu), India.
5Sai Sowmya Donthu, UG Scholar, Department of Information Technology, S. A. Engineering College, Chennai (Tamil Nadu), India.
Manuscript received on 10 May 2022 | Revised Manuscript received on 15 May 2022 | Manuscript Accepted on 15 July 2022 | Manuscript published on 30 July 2022 | PP: 11-13 | Volume-11 Issue-2, July 2022 | Retrieval Number: 100.1/ijrte.B70260711222 | DOI: 10.35940/ijrte.B7026.0711222
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: This review aims to gain insight into the recent development into Big Data applications in fisheries and Pisciculture. Advanced Technological and digital development facilitates innovative monitoring equipment for better management of fish stocks, this paper expounds the contradiction between supply and demand and analyzes the advantages and disadvantages of several modes of fish farming. the operation analysis development process and of the system were provided from the requirement analysis, system design, system implementation, input design, output design. The results showed that the effect of the platform in the actual application process was obvious, the three-way selection channel between customer, vendor and enterprises was successfully built, and the management efficiency was improved. 
Keywords: ASP.NET, Microsoft SQL Server and Other Technologies, Combined with UML.
Scope of the Article: Process & Device Technologies