Aim/Agenda

About us:

ICAR-Central Institute of Fisheries Education (CIFE) is a leading Fisheries University having a distinguished heritage and has nurtured many illustrious scholars and leaders over the years. In over 50 years of existence, CIFE has emerged as a centre of excellence for higher education in fisheries and allied disciplines. The Institute was established on 6th June 1961, under the Ministry of Agriculture, Govt. of India with assistance from FAO/UNDP. It came under the administrative control of Indian Council of Agricultural Research (ICAR) on 16th April 1979 and subsequently, the scope and mandate have been widened to include education, research and extension.

Recognizing the pivotal role played by CIFE in human resources development in fisheries, the institute was conferred the status of Deemed-to-be-University on 29th March 1989. Encouraged by the new status, the University grew by leaps and bounds. Building professional capabilities and competencies of more than 4000 State fisheries extension and development personnel since 1961, the emphasis has always been on quality education. Now CIFE is a knowledge powerhouse and a brand name in fisheries higher education.

What we do:

From a modest beginning in 1961, CIFE is now located in a new campus with state-of-the-art facilities and is looking forward to the future with great optimism and excitement. As a leading university, CIFE seeks to innovate and adopt best practices in educational and research programmes that prepare students to be leaders in the respective domains. CIFE has created an ecosystem of teaching and research excellence making it a preferred destination of students. The breadth of disciplines and collaboration among constituent institutions give unparallel opportunity to students to cross departmental boundaries and explore different horizons.

Expertise available with the Institute:

  • Setup of intensive aquaculture unit ,Aquaponics and their operation
  • Fish and shellfish nutrition and low cost feed preparation
  • Remote Sensing and GIS, image processing, developing different algorithms and expertise in machine and deep learning technique on text , numeric and image data set
  • Simulating Climate change and Land Use land cover (LULC) impact on different ecosystem services evaluation
  • IoT and sensor based fish behaviour monitoring and modelling using AI based tools
  • Developing and expertise in fish disease identification using Machine learning and Deep Learning technique
  • Interactive and dynamic database decision support system(DSS)
  • Assessment of fish spoilage markers

Objectives of the sub-project:

  • To establish Automated  Intensive  Aquaculture System (IAS)
  • To develop decision support system for environmental assessment and health management in the aquaculture system
  • To develop sensor-based device for fish quality assessment