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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.

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  • ThesisItemOpen Access
    Stage-discharge sediment modelling using soft computing techniques and prioritization of sub-watersheds of Ghatshila watershed
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2021-02) Manish Kumar; Pravendra Kumar
    Soil and water resources conservation are primary aspect for sustainable development of agricultural production. In this study, soft computing techniques like artificial neural network (ANN), support vector machine (SVM), wavelet based artificial neural network (WANN), wavelet based support vector machine (WSVM) and multilinear regression (MLR) were used for stage-discharge-sediment modelling. The stage, discharge and suspended sediment concentration (SSC) data of 10 years duration (2004-2013) was used for prediction of present day SSC for three sites namely, Adityapur, Jamshedpur and Ghatshila sites of Ghatshila watershed. Gamma test was used to select the best input combination for the development of models. Multilayer perceptron was used for ANN and WANN techniques while linear and radial kernel function were used for SVM and WSVM techniques. The results showed that the WSVM-LF model was found to be the best among all developed models for Adityapur and Ghatshila site while SVM-RF model was found to be the best for Jamshedpur site. Further, prioritization of the sub-watershed based on principal component analysis (PCA) was carried out for Ghatshila watershed. The morphometric analysis of twenty five sub-watersheds of Ghatshila watershed was done based on information obtained from drainage map extracted using remote sensing data and GIS tool. Based on PCA, four principal components namely, texture ratio (T), drainage density (Dd), circulatory ratio (Rc) and stream frequency (Fs) were identified for prioritization. Based on compound factor, SW-15 sub-watershed assigned with rank 1 priority whereas SW-22 sub-watersheds was assigned with rank 25. Therefore, SW-15 sub-watershed can be treated with suitable conservation measures.
  • ThesisItemOpen Access
    Stage-discharge sediment modelling using soft computing techniques and prioritization of sub-watersheds of Ghatshila watershed
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2021-02) Manish Kumar; Pravendra Kumar
    Soil and water resources conservation are primary aspect for sustainable development of agricultural production. In this study, soft computing techniques like artificial neural network (ANN), support vector machine (SVM), wavelet based artificial neural network (WANN), wavelet based support vector machine (WSVM) and multilinear regression (MLR) were used for stage-discharge-sediment modelling. The stage, discharge and suspended sediment concentration (SSC) data of 10 years duration (2004-2013) was used for prediction of present day SSC for three sites namely, Adityapur, Jamshedpur and Ghatshila sites of Ghatshila watershed. Gamma test was used to select the best input combination for the development of models. Multilayer perceptron was used for ANN and WANN techniques while linear and radial kernel function were used for SVM and WSVM techniques. The results showed that the WSVM-LF model was found to be the best among all developed models for Adityapur and Ghatshila site while SVM-RF model was found to be the best for Jamshedpur site. Further, prioritization of the sub-watershed based on principal component analysis (PCA) was carried out for Ghatshila watershed. The morphometric analysis of twenty five sub-watersheds of Ghatshila watershed was done based on information obtained from drainage map extracted using remote sensing data and GIS tool. Based on PCA, four principal components namely, texture ratio (T), drainage density (Dd), circulatory ratio (Rc) and stream frequency (Fs) were identified for prioritization. Based on compound factor, SW-15 sub-watershed assigned with rank 1 priority whereas SW-22 sub-watersheds was assigned with rank 25. Therefore, SW-15 sub-watershed can be treated with suitable conservation measures.