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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
    Spatio-temporal analysis of vegetation dynamics of New Delhi (India) using satellite data
    (G.B. Pant University of Agriculture and Technology, Pantnagar, District Udham Singh Nagar, Uttarakhand. PIN - 263145, 2022-10) Navtej Anand; Subodh Prasad
    Understanding and analysing vegetation cover changes is crucial for a number of reasons, especially when it comes to taking the necessary conservation measures. This study asses the vegetation changes in the New Delhi (India) over the years from 2000 to march 2022 based on NDVI (Normalized Difference Vegetation Index). The NDVI values have been collected from MODIS terra satellite imagery. Using this NDVI data the study finds that the vegetation greenness of Delhi has increased by 18.63% from year 2001 to 2021. A dataset of 509 NDVI values have been used for making the time series. An attempt has been carried out to predict the vegetation change using this MODIS NDVI time series data and LSTM (Long Short Term Memory) network. The prediction has been carried out on two different LSTM models side by side on the same data and comparative study has been done. The LSTM networks has been trained with 80% of the data and rest 20% are used for testing the model’s accuracy. The results show that both the LSTM model are capable of predicting the future NDVI values with appreciable accuracy but model-1 predicts with better accuracy and lesser errors. Model-1 predicts the future NDVI values with RMSE less than 0.034 and R2 of more than 0.77. Model-2 is not far behind, it predicts with RMSE of around 0.036 and R2 of around 0.74. So, this study concludes that using LSTM networks it is possible to accurately predict vegetation changes well in advance and take appropriate proactive measures to protect and enhance the vegetation in any area.
  • ThesisItemOpen Access
    Air quality assessment of Uttarakhand (India) based on satellite data
    (G.B. Pant University of Agriculture and Technology, Pantnagar, District Udham Singh Nagar, Uttarakhand. PIN - 263145, 2022-10) Chandra, Divyanshu; Verma, Govind
    Degrading Air Quality is a major concern for all species on this planet. Over the years, it is seen that air quality is constantly degrading mainly of the reasons of industrialisation, deforestation, and green house effect. Main parameters to be considered with the Air Quality are the Carbon Monoxide (CO), Nitrogen Dioxide (NO2), Sulphur Dioxide (SO2), Ozone (O3) and Aerosols. They are present in the air and their increasing or decreasing nature causes major changes in the air that organism’s breath. A study of these parameters changing over time is necessary so to keep a check on the degrading air quality. In this study, the data of Carbon Monoxide (CO), Nitrogen Dioxide (NO2), Sulphur Dioxide (SO2), Ozone (O3) and Aerosols is taken for the past 5 years and their time series is extracted thereafter a test on stationarity is done so as to know whether these series are stationary or not. Two machine learning models namely Holt winter’s Smoothing and FbProphet is applied to predict the value adjacent to the original value and a error metric is comparison is done to find out which model is best suited for forecasting these Air Quality parameters.