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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
    Analysis of key frame extraction using discrete wavelet transformation and text localization in videos using fast bounding box algorithm
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2016-07) Paliwal, Sonal; Singh, Rajesh Shyam
  • ThesisItemOpen Access
    Study and analysis of multilingual handwritten characters recognition using SVM classifier
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2016-07) Vohra, Ujwal Singh; Dwivedi, Shri Prakash
  • ThesisItemOpen Access
    Image retrieval based on RGB color component using color histogram and statistical feature
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2016-07) Kothyari, Piyush; Dwivedi, Shriprakash
    Content based image retrieval is based on automated matching of the features of the query image with that of image database through some image similarity evaluation. This can be done by extracting a useful feature from the query image as well as database image. The features like histogram, texture and shape extraction plays very vital role in the proper image retrieval. Here we have implemented a method of image retrieval using the histogram, Statistical and Shape features. In proposed method has two phases. In the first phase, we computed statistical or texture feature from each non uniform histogram bin for each RGB color components. Then we calculated similarity between the query image and database image using Euclidean distance to retrieve first round of result which is denoted as result A. In the second phase, we use Hu moments to extract the feature from result A and again measure the similarity between the query image and resulting image and in the final result most similar images are shown. The Proposed method is tested on Wang image database containing 1000 general – purpose color image and results are shown in terms of precision and recall. The performance of the proposed method is compared with the existing systems in the literature.
  • ThesisItemOpen Access
    Analysis of multi-hop routing protocol based on bat algorithm for wireless sensor network
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2016-07) Pandey, Bhoomika; Mandoria, H.L.
  • ThesisItemOpen Access
    Study and comparison of distributed energy efficient clustering protocols in heterogeneous wireless sensor networks using MATLAB
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2016-07) Anamika; Ashok Kumar
  • ThesisItemOpen Access
    Analysis of query recommendation in search engine using BPFP
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2016-07) Pandey, Akansha; Dwivedi, Shri Prakash
  • ThesisItemOpen Access
    Study and analysis of block based digital image watermarking using SVD-DCT-DWT domains
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2016-07) Dubey, Ravish Kumar; Mandoria, H.L.
  • ThesisItemOpen Access
    Study & analysis of copy-move forgery detection in digital image using MATLAB
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2016-07) Rachana; Ashok Kumar
    With the rapid development of ubiquitous availability of imaging tools and software, it is not difficult to tamper or forge the digital image. As a result, digital images can no longer be trusted. Therefore each and every digital image must therefore be subject to test for authenticity in many areas-forensic investigation, criminal investigation, surveillance system, intelligent system, medical imaging and journalism. Digital Image Forensic is rising and swiftly growing field of image processing area to find the authenticity of digital image. Copy-Move attack is very common type of tampering technique, where a part of an image is copied and pasted elsewhere in the same image to conceal a special object in the original image. Many block based methods have been suggested to detect duplicated region (Copy-Move forgery).One of the major challenge of these block based is the time complexity. As the image size increases the execution time of such algorithm is also increases. In the proposed method, PCA is applied to the suspected image to reduce its dimensionality. Thus, Principal Component Analysis is for digital image compression. I have devised and implemented a side matching approach to reduce the time complexity. This proposed algorithm improves the time complexity in detection of Copy-Move Forgery.
  • ThesisItemOpen Access
    Study & analysis of pattern recognition using graph database for fraud & anomalies detection
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2016-07) Kashyap, Navneet Kumar; Pandey, Binay Kumar