OBJECTIVES
OF KVK
To plan and conduct surveys of
the operational area through Participatory Rural Appraisal
(PRA) methods to inventories for identifying the technological and
training needs of the farming community.
To compile all relevant
recommendations / package of practices for the area to be meaningfully utilized
in training programmes and the follow up extension activities.
To plan and conduct production
oriented and need based short and long duration training courses both on the
campus as well as in the villages for various target groups with priority on the
resource for poor sections.
To organize Farm Science Clubs in order to inculcate in the younger generations a scientific temper and an interest on agriculture and allied sciences and for scientific farming through supervised individual and group projects.
To develop and maintain the
campus farms and demonstration units on scientific lines as the facilities for
providing work experience to the trainees, dissemination of the latest technical
know- how and also as a means to achieve financial sustainability in due course
of time.
To provide practical training facilities of the kendra to the teachers and the students of vocational agriculture of the higher secondry schools.
To provide added training
facilities in the area for home making and nutrition education for rural
community and gradually enlarging the training facility to encompass other
important areas such as home crafts and cottage industries with the requirement
of the integrated rural development in collaboration with the concern
organizations.
To implement all such schemes of the ICAR and other related organizations which intend to strengthen the training and technology dissemination programmes as well as follow-up extension activities of the Kendra.
To undertake on-farm testing of the technologies developed by the National Agricultural Research System (NARS) in agriculutre and allied fields for their suitability and identifying the constrains.
To demonstrate the
potentialities of various technologies and recommend for its adoption in
maximizing yields / income per unit of time and area under different resource
condition.