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Dr. Rajendra Prasad Central Agricultural University, Pusa

In the imperial Gazetteer of India 1878, Pusa was recorded as a government estate of about 1350 acres in Darbhanba. It was acquired by East India Company for running a stud farm to supply better breed of horses mainly for the army. Frequent incidence of glanders disease (swelling of glands), mostly affecting the valuable imported bloodstock made the civil veterinary department to shift the entire stock out of Pusa. A British tobacco concern Beg Sutherland & co. got the estate on lease but it also left in 1897 abandoning the government estate of Pusa. Lord Mayo, The Viceroy and Governor General, had been repeatedly trying to get through his proposal for setting up a directorate general of Agriculture that would take care of the soil and its productivity, formulate newer techniques of cultivation, improve the quality of seeds and livestock and also arrange for imparting agricultural education. The government of India had invited a British expert. Dr. J. A. Voelcker who had submitted as report on the development of Indian agriculture. As a follow-up action, three experts in different fields were appointed for the first time during 1885 to 1895 namely, agricultural chemist (Dr. J. W. Leafer), cryptogamic botanist (Dr. R. A. Butler) and entomologist (Dr. H. Maxwell Lefroy) with headquarters at Dehradun (U.P.) in the forest Research Institute complex. Surprisingly, until now Pusa, which was destined to become the centre of agricultural revolution in the country, was lying as before an abandoned government estate. In 1898. Lord Curzon took over as the viceroy. A widely traveled person and an administrator, he salvaged out the earlier proposal and got London’s approval for the appointment of the inspector General of Agriculture to which the first incumbent Mr. J. Mollison (Dy. Director of Agriculture, Bombay) joined in 1901 with headquarters at Nagpur The then government of Bengal had mooted in 1902 a proposal to the centre for setting up a model cattle farm for improving the dilapidated condition of the livestock at Pusa estate where plenty of land, water and feed would be available, and with Mr. Mollison’s support this was accepted in principle. Around Pusa, there were many British planters and also an indigo research centre Dalsing Sarai (near Pusa). Mr. Mollison’s visits to this mini British kingdom and his strong recommendations. In favour of Pusa as the most ideal place for the Bengal government project obviously caught the attention for the viceroy.

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Subject: Statistics × Author: M, MOHAMMED HISHAM × Start date: 2020 × Thesis Type: M.Sc ×
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    ThesisItemOpen Access
    FORECASTING OF COCONUT YIELD AND PERFORMANCE OF KISAN CREDIT CARD SCHEME IN MALAPPURAM DISTRICT OF KERALA
    (RPCAU, Pusa, 2023) M, MOHAMMED HISHAM; Kumar, Mahesh
    The current study entitled with “Forecasting of Coconut Yield and Performance of Kisan Credit Card Scheme in Malappuram district of Kerala” is based on the objectives of analyzing the coconut cultivation in Malappuram district of Kerala, Forecast coconut yield using nonlinear growth models for the district and assess the effect of KCC scheme for coconut growers of the same district. The trend analysis and forecast relies on secondary time series data of coconut, which is obtained from Kerala State Economics and Statistics Department and Coconut Development Board. The time series data spans from 1971-72 to 2020-21. The data from 1971-72 to 2015-16 is used for forecasting while the data from the year 2016-17 to 2020-21 is used for the validation process. For the assessment of KCC scheme, primary data collected from the beneficiaries is used. Graphical method is employed to analyze the trend. The result indicates that the trend of coconut area, production, and productivity in Malappuram district of Kerala is increasing. The accuracy of the trend analysis was done using the coefficient of determination values. Compound Annual Growth Rates were also calculated and it also found positive. Monomolecular, Logistic, and Gompertz models were utilized to forecast the coconut yield and the data is fitted using R software. A comparison of models using ten different statistics, including R^2, R_7^2, R_8^2, RSS, MAPE, MAE, MSE, RMSE, RSE and MSE.nn was conducted and Monomolecular model found to be the better model for forecasting coconut yield in Malappuram district. Selected model for the coconut yield in Malappuram district is given by Y ̂=2.817738-(2.817738-3.810496)×exp⁡(0.043186×t) Kisan Credit Card scheme emerged as an innovative means of delivering credit to meet the production related needs of the farmers ensuring timely and sufficient manner. The primary data were collected from 50 KCC beneficiary coconut farmers from Malappuram district. The collected data were interpreted using frequency tables and percentage analysis. Beneficiaries found KCC loan availability relatively easier compared to other loan processes. 86% of the beneficiaries obtained loans up to maximum limit, 94% used funds for their intended purpose and 78% repaid the loan amount using the intended earnings. Overall, the KCC scheme positively influenced farming practices, leading to increased yield and income.