Loading...
Thumbnail Image

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.

Browse

Search Results

Now showing 1 - 3 of 3
  • ThesisItemOpen Access
    AN ANALYSIS OF PRICE FORECASTING TECHNIQUES FOR ONION AND TOMATO CROPS
    (UNIVERSITY OF AGRICULTURAL SCIENCES GKVK, BENGALURU, 2015-07-14) SHRUTHI, J; Nagaraja, G. N
    Agricultural price forecasts are an integral component of trade and policy analysis. As the prices of agricultural commodities directly influence the real income of consumers and it also affects the consumers’ access to food. For the purpose of this study two such agricultural commodities are selected i.e. onion and tomato because of huge demand and price fluctuation. The present study was conducted using ten years monthly prices and arrivals of onion and tomato at Bengaluru and Kolar APMC market, respectively. The data for the above period was collected from Kirshi Marata Vahini website and the selection of markets for the study was done on the basis of maximum quantity of arrivals for the markets. The forecasting models used for onion crop are Auto Regressive Integrated Moving Average (ARIMA), Seasonal Auto Regressive Integrated Moving Average (SARIMA) and Generalized Auto Regressive Conditional Heteroscedastic (GARCH). The forecasting models used for tomato crop are ARIMA, Auto Regressive Integrated Moving Average exogenous variable (ARIMAX) and GARCH. These models were used to forecast prices for next 12 months. In case of onion price, SARIMA model was found to be the best forecasting model by giving a Minimum Absolute percentage error (MAPE) value 21.24 per cent. In tomato crop, ARIMAX model was found to be best forecasting model with a minimum MAPE value of 59.06 per cent. The identification of the best forecasting model would help the producers, consumers as well as suppliers in taking appropriate decisions.
  • ThesisItemOpen Access
    Consumer preference for organically grown fruits and vegetables - A study in bangalore city
    (UNIVERSITY OF AGRICULTURAL SCIENCES GKVK, BENGALURU, 2010-07-10) Bhuvan, Bopanna; Mandanna
    Agriculture and food security are the most important concerns of the 21st century for a developing country like India (Thakur and Sharma, 2005). Agricultural production, especially food grains has increased over the last few decades in India. With the increase in population there is compulsion not only to stabilize agricultural production but also to increase it further in a sustainable manner. The scientists have realized that the ‘Green Revolution’ with high input use has reached a plateau and the returns have started to diminish resulting in falling dividends. Therefore alternative agricultural practices and methods of production are evolving as coping strategies to sustain agriculture. Of late, an increasing concern on environmental pollution owing to increased application of fertilizers for maintaining long term soil productivity is being expressed. This has necessitated the quest for searching alternatives for modern farming methods. In the context of globalization and WTO regime, Indian agriculture must become efficient, competitive, cost effective and sustainable. The new thinking is towards quality agricultural production to meet niche domestic as well as export markets through organic agriculture. The growing health concerns and increasing non-tariff barriers like Sanitary and Phyto Sanitary (SPS) measures in the international market, coupled with non-viability of modern farming on a small scale, are some of the other factors behind the move from chemical based to organic production and consumption systems.
  • ThesisItemOpen Access
    Comparative analysis of Microfinance by Microfinance Institutions and other Financial Institutions in Bhagalpur district, Bihar
    (UNIVERSITY OF AGRICULTURAL SCIENCES GKVK, BENGALURU, 2010-07-10) Keshar, Deo; Umesh, K B
    Micro-finance programmes in the recent past have become one of the most promising ways to use scarce development funds to achieve the objectives of poverty alleviation. An attempt has been made in this study to know the microfinance facilities extended to borrowers along with patterns of disbursement, monitoring and recovery of loans by different financial institutions. The study also attempts to analyze the economic impact of loan on borrowers and the constraints faced by borrowers in borrowing and. repayments. The study is based on the primary data collected from four micro financial institutions (MFI), four non micro financial institutions (NMFI), and fifty beneficiaries of both institutions in Bhagalpur district, Bihar. The syudy was undertaken during 2009-10. Measure of central tendency and dispersion, paired ‘t’ test and Garrets ranking technique were employed to analyse the data. MFI were providing only micro credit and insurance facilities to the beneficiaries, but NMFI were providing micro credit, insurance, savings accounts, money transfer facility. MFI were providing micro credit directly to the beneficiaries where as NMFI were providing micro credit though bank. Frequency of monitoring in case of MFI was either monthly or once at the time of loan sanctioning where as NMFI monitors the loan use quarterly or whenever required. The beneficiaries of MFI have to repay the loan in weekly installment, where as beneficiaries of NMFI have to repay the loan in month wise. The increase in monthly income, savings, expenditure on food and health of the beneficiaries of MFI was marginally higher than that of NMFI. The beneficiaries of MFI felt that, high repayment pressure was the main constraint faced by borrowers in availing the loan but beneficiaries of NMFI felt, more paper work was the major constraint.