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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
    Fuzzy based semantic clustering of news articles
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2018-10) Priyanka; Joshi, Sanjay
    Text mining is a process that uses data mining approaches to extract valuable information held in the hidden form in textual data. In this paper, a framework for fuzzy clustering of news articles is proposed. These news articles originate on different news portals on the web. The data sets are fetched from two different Indian news portals, The Hindu archive and Times Of India archive. Six data sets are used for implementation and evaluation: 4 news articles Times of India, 150 news articles Times of India, 1000 news articles Times of India, 4 news articles The Hindu, 150 news articles The Hindu, 1000 news articles The Hindu. The fetched data is stored in a central database and then preprocessing reduces the noise. Tokenization is done to split the text content into separate words. Stop words are removed from the text data as they have no significance for cluster discrimination. Then lemmatization technique is applied. Tf-idf is calculated for the data set and saved in the word frequency vector. On these vectors, distance measure or similarity measure function is used to find the similarity between articles. Tf-idf with cosine similarity measure gives semantic similarity between articles. One article may belong to more than one cluster so fuzzy membership values must be generated. The articles are clustered using two clustering algorithms k-means clustering and fuzzy c-means clustering. The similar documents are grouped into same cluster and dissimilar documents are put into different clusters. The proposed framework shows that fuzzy clustering does not restrict each news article to belong exactly to one cluster. Therefore this framework when applied to information retrieval systems or other application systems, system gives better performance and relevance to the users.
  • ThesisItemOpen Access
    DUS characterization of bread wheat (Triticum aestivum L. em. Thell.) genotypes by morphological and molecular markers
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2012-08) Priyanka; Rawat, R.S.
    The present study was carried out on 28 wheat genotypes with the objectives: (i) To provide a detailed description of morphological DUS descriptors for wheat varieties over two years as per the DUS guidelines of PPV & FR Authority. (ii) To determine the relative extent of distinctiveness, uniformity and stability of morphological DUS descriptors. (iii) Characterization of the varieties by molecular markers to supplement the morphological DUS descriptors. The field experiments were conducted in the Rabi seasons 2009-10 and 2010-11 at N. E. Borlaug Crop Research Center and Wheat Grain Quality Laboratory, at G. B. Pant University and Agriculture and Technology, Pantnagar. Among the 30 visually assessed DUS descriptors, each 4 were monomorphic and dimorphic and the rest 22 were polymorphic. Out of the 8 measurable characteristics, each 2 were monomorphic and dimorphic and the rest 8 were polymorphic. No intra varietal variation was observed for any of the visual characters in two consecutive years in different wheat genotypes confined the uniformity and stability of genotypes. COYD analysis was made on 8 measurable DUS descriptors of wheat. COYD analysis was complemented with Modified Joint Regression Analysis (MJRA). The slope of the MJRA curves in both the years and regression coefficient indicated that all the considered characters were not completely independent and they are interacting with each other as well as with environment. COYU analysis revealed that all the genotypes were more or less uniform for measurable characters. However seven genotypes crossed the acceptable limits, as the standard deviation for different characters was not yet acceptable after two yeas with the probability of 5%. PCV and GCV showed differences in their magnitude which indicates less stability of these characters. On the basis of eight grouping characteristics nine genotypes were distinguished but all genotypes were not discriminated. Thus to supplement the morphological descriptors, molecular marker analysis was conducted using SSR markers. UPGMA cluster analysis distinguished those genotypes which were not discriminated by the morphological DUS descriptors. The present investigation revealed that all twenty eight genotypes were distinguished with help of molecular and morphological markers. It is concluded that molecular markers may be used as additional descriptors for establishing distinctiveness of wheat genotypes. According to PPV & FR Act 2001, for plant variety protection varietal DUS description is essential. Thus the varieties satisfying the DUS criteria can be registered with PPV & FR authority.