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University of Agricultural Sciences, Bengaluru

University of Agricultural Sciences Bangalore, a premier institution of agricultural education and research in the country, began as a small agricultural research farm in 1899 on 30 acres of land donated by Her Excellency Maharani Kempa Nanjammanni Vani Vilasa Sannidhiyavaru, the Regent of Mysore and appointed Dr. Lehmann, German Scientist to initiate research on soil crop response with a Laboratory in the Directorate of Agriculture. Later under the initiative of the Dewan of Mysore Sir M. Vishweshwaraiah, the Mysore Agriculture Residential School was established in 1913 at Hebbal which offered Licentiate in Agriculture and later offered a diploma programme in agriculture during 1920. The School was upgraded to Agriculture Collegein 1946 which offered four year degree programs in Agriculture. The Government of Mysore headed by Sri. S. Nijalingappa, the then Chief Minister, established the University of Agricultural Sciences on the pattern of Land Grant College system of USA and the University of Agricultural Sciences Act No. 22 was passed in Legislative Assembly in 1963. Dr. Zakir Hussain, the Vice President of India inaugurated the University on 21st August 1964.

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  • ThesisItemOpen Access
    FORECASTING OF RAINFALL IN METEOROLOGICAL SUBDIVISIONS OF KARNATAKA USING NON-LINEAR STATISTICAL MODELS
    (UNIVERSITY OF AGRICULTURAL SCIENCES, BANGALORE, 2020-12-01) KODANDARAMA, S. R.; MOHAN KUMAR, T. L.
    Indian agriculture is mainly dependent on the timely arrival of rainfall and its distribution pattern. The analysis of rainfall distribution pattern and its forecast were essential for planning and management of water resources for agriculture and allied activities. Therefore, the present study was undertaken to analyze the trend, shifting pattern and forecasting of rainfall in four meteorological subdivisions of Karnataka namely North Interior Karnataka (NIK), South Interior Karnataka (SIK), Malnad and Coastal subdivisions using sixty years of monthly rainfall data (1960- 2019) collected from AICRP (Agro-Meteorology), GKVK and KSNDMC, Bengaluru. To analyze the trend in rainfall, Mann-Kendal and Modified Mann-Kendall tests were employed. For annual rainfall data, results of Mann-Kendal test revealed that no significant trend in all the subdivisions. However, Modified Mann-Kendall test showed monotonic increasing trend in SIK (1.47) and Coastal (5.10) subdivisions, monotonic decreasing trend in NIK (-1.40) subdivision, and no monotonic trend in Malnad subdivision. Likelihood Ratio test was used to assess the shifting pattern. Results revealed that NIK subdivision had decreased rainfall distribution after shifting year 2010 whereas, in SIK, Malnad and Coastal subdivisions increased rainfall distribution was observed after shifting years 1968, 2016 and 1966 respectively. To forecast monthly rainfall, H-WES, SARIMA, ARCH, GARCH and ANN time-series models were employed. For all the subdivisions, the ANN model was performed better than other models on both training and testing data on the basis of lowest RMSE value. Hence, ANN model can be used for forecasting monthly rainfall data in all the meteorological subdivisions of Karnataka.
  • ThesisItemOpen Access
    FORECASTING OF RAINFALL IN METEOROLOGICAL SUBDIVISIONS OF KARNATAKA USING NON-LINEAR STATISTICAL MODELS
    (University of Agricultural Sciences GKVK, Bangalore, 2020-12-01) KODANDARAMA, S. R.; KODANDARAMA, S. R.; MOHAN KUMAR, T. L.; MOHAN KUMAR, T. L.
    Indian agriculture is mainly dependent on the timely arrival of rainfall and its distribution pattern. The analysis of rainfall distribution pattern and its forecast were essential for planning and management of water resources for agriculture and allied activities. Therefore, the present study was undertaken to analyze the trend, shifting pattern and forecasting of rainfall in four meteorological subdivisions of Karnataka namely North Interior Karnataka (NIK), South Interior Karnataka (SIK), Malnad and Coastal subdivisions using sixty years of monthly rainfall data (1960- 2019) collected from AICRP (Agro-Meteorology), GKVK and KSNDMC, Bengaluru. To analyze the trend in rainfall, Mann-Kendal and Modified Mann-Kendall tests were employed. For annual rainfall data, results of Mann-Kendal test revealed that no significant trend in all the subdivisions. However, Modified Mann-Kendall test showed monotonic increasing trend in SIK (1.47) and Coastal (5.10) subdivisions, monotonic decreasing trend in NIK (-1.40) subdivision, and no monotonic trend in Malnad subdivision. Likelihood Ratio test was used to assess the shifting pattern. Results revealed that NIK subdivision had decreased rainfall distribution after shifting year 2010 whereas, in SIK, Malnad and Coastal subdivisions increased rainfall distribution was observed after shifting years 1968, 2016 and 1966 respectively. To forecast monthly rainfall, H-WES, SARIMA, ARCH, GARCH and ANN time-series models were employed. For all the subdivisions, the ANN model was performed better than other models on both training and testing data on the basis of lowest RMSE value. Hence, ANN model can be used for forecasting monthly rainfall data in all the meteorological subdivisions of Karnataka.
  • ThesisItemOpen Access
    FORECASTING OF RAINFALL IN METEOROLOGICAL SUBDIVISIONS OF KARNATAKA USING NON-LINEAR STATISTICAL MODELS
    (University of Agricultural Sciences GKVK, Bangalore, 2020-12-01) KODANDARAMA, S. R.; MOHAN KUMAR, T. L.
    Indian agriculture is mainly dependent on the timely arrival of rainfall and its distribution pattern. The analysis of rainfall distribution pattern and its forecast were essential for planning and management of water resources for agriculture and allied activities. Therefore, the present study was undertaken to analyze the trend, shifting pattern and forecasting of rainfall in four meteorological subdivisions of Karnataka namely North Interior Karnataka (NIK), South Interior Karnataka (SIK), Malnad and Coastal subdivisions using sixty years of monthly rainfall data (1960- 2019) collected from AICRP (Agro-Meteorology), GKVK and KSNDMC, Bengaluru. To analyze the trend in rainfall, Mann-Kendal and Modified Mann-Kendall tests were employed. For annual rainfall data, results of Mann-Kendal test revealed that no significant trend in all the subdivisions. However, Modified Mann-Kendall test showed monotonic increasing trend in SIK (1.47) and Coastal (5.10) subdivisions, monotonic decreasing trend in NIK (-1.40) subdivision, and no monotonic trend in Malnad subdivision. Likelihood Ratio test was used to assess the shifting pattern. Results revealed that NIK subdivision had decreased rainfall distribution after shifting year 2010 whereas, in SIK, Malnad and Coastal subdivisions increased rainfall distribution was observed after shifting years 1968, 2016 and 1966 respectively. To forecast monthly rainfall, H-WES, SARIMA, ARCH, GARCH and ANN time-series models were employed. For all the subdivisions, the ANN model was performed better than other models on both training and testing data on the basis of lowest RMSE value. Hence, ANN model can be used for forecasting monthly rainfall data in all the meteorological subdivisions of Karnataka.