Loading...
Thumbnail Image

Govind Ballabh Pant University of Agriculture and Technology, Pantnagar

After independence, development of the rural sector was considered the primary concern of the Government of India. In 1949, with the appointment of the Radhakrishnan University Education Commission, imparting of agricultural education through the setting up of rural universities became the focal point. Later, in 1954 an Indo-American team led by Dr. K.R. Damle, the Vice-President of ICAR, was constituted that arrived at the idea of establishing a Rural University on the land-grant pattern of USA. As a consequence a contract between the Government of India, the Technical Cooperation Mission and some land-grant universities of USA, was signed to promote agricultural education in the country. The US universities included the universities of Tennessee, the Ohio State University, the Kansas State University, The University of Illinois, the Pennsylvania State University and the University of Missouri. The task of assisting Uttar Pradesh in establishing an agricultural university was assigned to the University of Illinois which signed a contract in 1959 to establish an agricultural University in the State. Dean, H.W. Hannah, of the University of Illinois prepared a blueprint for a Rural University to be set up at the Tarai State Farm in the district Nainital, UP. In the initial stage the University of Illinois also offered the services of its scientists and teachers. Thus, in 1960, the first agricultural university of India, UP Agricultural University, came into being by an Act of legislation, UP Act XI-V of 1958. The Act was later amended under UP Universities Re-enactment and Amendment Act 1972 and the University was rechristened as Govind Ballabh Pant University of Agriculture and Technology keeping in view the contributions of Pt. Govind Ballabh Pant, the then Chief Minister of UP. The University was dedicated to the Nation by the first Prime Minister of India Pt Jawaharlal Nehru on 17 November 1960. The G.B. Pant University is a symbol of successful partnership between India and the United States. The establishment of this university brought about a revolution in agricultural education, research and extension. It paved the way for setting up of 31 other agricultural universities in the country.

Browse

Search Results

Now showing 1 - 1 of 1
  • ThesisItemOpen Access
    Studies on microwave assisted high velocity hot air drying characteristics of cauliflower (Brassica oleracea)
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2015-07) Poornima, S.; Pandey, R.K.
    Cauliflower (Brassica oleracea var botrytis) is one of the important cole crop in India, especially in northern states. The high post harvest losses and huge availability during glut demands the cauliflower to preserve so that their useful characteristics can be reaped during unavailability. Among all food preservation methods, dehydration is a easiest and classical method of food preservation. The cauliflower were dehydrated in microwave assisted high velocity hot air drier at five microwave power input of 3, 3.50, 4, 4.50 and 5 min. with five temperatures of 50, 55, 60, 65 and 70o C and five air flow velocities of 1.5, 3, 4.5, 6 and 7.5 m/s. Dehydrated cauliflower were analyzed for rehydration ratio, vitamin C and browning. In order to select a suitable drying model for prediction of the drying kinetics of dehydrated cauliflower, three thin-layer drying models were fitted to the experimental data. Logarithmic model was found best to describe the drying behaviour of cauliflower with highest R2 of 0.9994 and least SEE of 0.0142. Statistical analysis indicated that the drying time was dependent on microwave time, drying temperature and velocity. The total time consumed to dehydrate the cauliflower samples to safe moisture level was 55 to 148 min. The optimum value of microwave time, drying temperature and air velocity for overall drying time of cauliflower were obtained as 4 min., 60o C and 4±1 m/s respectively. Furthermore, the application of Artificial Neural Network (ANN) for predicting the drying time was investigated with 8 neurons in single hidden layer. The results revealed that a network with the log sigm function and back propagation algorithm provided better accuracy in the estimation of overall drying time.