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Dr. Y. S. Parmar University of Horticulture & Forestry, Solan

Dr. Yashwant Singh Parmar University of Horticulture and Forestry, Solan, was established on 1st December, 1985 with the objective to promote education, research and extension education in the fields of Horticulture, Forestry and allied disciplines. Late Dr. Yashwant Singh Parmar, the first Chief Minister and the architect of Himachal Pradesh perceived the importance of Horticulture and Forestry to develop and improve the State economy which led to the establishment of this University. Its history lies in erstwhile Himachal Agricultural College, Solan, established in 1962 and affiliated to the Panjab University. It became one of the campuses of Agriculture Complex of Himachal Pradesh University on its formation in 1970. Consequent upon the establishment of Himachal Pradesh Krishi Vishvavidyalaya in 1978, this campus became its Horticulture Complex and finally in 1985, assumed the status of a State University, being the only University in the country engaged exclusively in teaching, research and extension in Horticulture and Forestry. The University is located at Nauni in Solan District of Himachal Pradesh, 13 km from Solan on Solan-Rajgarh Road, at an elevation of 1300 metres above mean sea level. Solan town is situated on national highway (NH-22) and is well connected by train and bus services. The University has four constituent colleges, out of which, two are located at the main campus Nauni, one for horticulture and the other for forestry, having 9 and 7 departments, respectively. The third College i.e., College of Horticulture & Forestry is located at Neri in Hamirpur District on Nadaun-Hamirpur state highway, about 6 Km from Hamirpur town and is well connected with bus service. The college offers three Undergraduate Degree Programmes i.e. BSc (Hons.) Horticulture, BSc (Hons.) Forestry and B. Tech. Biotechnology and MSc degree programme in a few subjects. The fourth college i.e. College of Horticulture and Forestry, Thunag (Mandi) is located at Thunag District Mandi. This college offer BSc (Hons.) Horticulture and BSc (Hons.) Forestry degree programme. In addition, there are five Regional Research Stations, 12 Satellite Stations and five Krishi Vigyan Kendras (KVKs) situated in different zones of the State.

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20151
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Subject: Statistics × Author: ARUN, KUMAR × Type: Thesis ×
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    ThesisItemOpen Access
    STATISTICAL MODELS FOR FORECASTING THE PRODUCTION OF IMPORTANT FRUIT AND VEGETABLE CROP IN HIMACHAL PRADESH
    (2015) ARUN, KUMAR; GUPTA, R.K.
    ABSTRACT The present investigation entitled “Statistical models for forecasting the production of important fruit and vegetable crop in Himachal Pradesh.” was undertaken in the Department of Basic Science, Dr. Y.S. Parmar University of Horticulture and Forestry, Nauni, Solan 173230 (H.P.) during 2013-2015. Last 18 years of secondary data based on area (ha) and production (MT) for mango and 40 years of secondary data based on area (ha) and production (MT) of potato for H.P is being used and different prediction models viz. autoregressive straight line, second degree parabola, exponential, modified exponential and gompertz were applied & tested. All the prediction models fitted well to the area of mango with high Adj. R2, low RMSE and low Thiel’s inequality coefficient (U) and the four prediction models fitted well to the mango production namely: Straight line, Second degree parabola, Gompert and 1st order autoregressive model was fitted best with high Adj. R2 and low RMSE and Thiel’s inequality coefficient (U). Second degree parabola and autoregressive models were best models to forecast the area and production of mango as per Adj. R2, RMSE and Thiel’s inequality coefficient (U). 1st order autoregressive model was fitted well to the area of potato as per Adj. R2 and RMSE and all prediction models fitted well to the potato production as suggested by Adj. R2, RMSE and Thiel’s inequality coefficient (U). On the basis of Adj. R2, RMSE and Thiel’s inequality coefficient (U) 1st order autoregressive model and second degree parabola were best to forecast the area and production of potato.