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Chaudhary Charan Singh Haryana Agricultural University, Hisar

Chaudhary Charan Singh Haryana Agricultural University popularly known as HAU, is one of Asia's biggest agricultural universities, located at Hisar in the Indian state of Haryana. It is named after India's seventh Prime Minister, Chaudhary Charan Singh. It is a leader in agricultural research in India and contributed significantly to Green Revolution and White Revolution in India in the 1960s and 70s. It has a very large campus and has several research centres throughout the state. It won the Indian Council of Agricultural Research's Award for the Best Institute in 1997. HAU was initially a campus of Punjab Agricultural University, Ludhiana. After the formation of Haryana in 1966, it became an autonomous institution on February 2, 1970 through a Presidential Ordinance, later ratified as Haryana and Punjab Agricultural Universities Act, 1970, passed by the Lok Sabha on March 29, 1970. A. L. Fletcher, the first Vice-Chancellor of the university, was instrumental in its initial growth.

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  • ThesisItemOpen Access
    Prediction of monthly onion arrivals and prices in major Indian markets using Support vector machine and ANN models
    (CCSHAU, 2019) Bharti, Deepa; Hooda, B.K.
    In the present study, growth rates in area, production, productivity and export of onion in India and world have been studied during 1980-2016. Support Vector Machine (SVM) and Artificial Neural Network (ANN) models were also developed and compared for monthly arrivals and prices of onion in major Indian Markets for the period 1990 to 2016. Study revealed a significant increase in area, production, productivity and export of onion in India during the period 1980-2016 with compound growth rates of 5.13, 6.72, 1.47and 7.62 per cent per annum. While significant increase with compound growth rates 3.54, 4.21 and 0.18 per cent per annum was also observed in area, production and productivity at the world level for the period 1980 to 2016. SVM was found to be the better predictor for onion arrivals in Delhi, Kolkata and Bengaluru markets. While, ANN performed better for the Mumbai and Jaipur market. Also for onion prices of selected market, SVM models were better predictors in three markets prices, while ANN models were fitted on two markets. In Kolkata, Bengaluru and Mumbai markets prices, lower value of RMSE and MAPE were found using SVM model than ANN model. For the Jaipur and Delhi market, least value of RMSE and MAPE were found for ANN model. Hence SVM models outperformed ANN models.