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Acharya Narendra Deva University of Agriculture & Technology, Ayodhya

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Subject: Agricultural Statistics and Informatics ×
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Now showing 1 - 9 of 18
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    ThesisItemOpen Access
    A STUDY ON IMPACT OF CLIMATE CHANGE ON WHEAT CROP YIELD AND DEVELOPMENT OF STATISTICAL MODELS FOR PRE- HARVEST FORECAST OF CROP - YIELD IN AYODHYA DISTRICT OF EASTERN U.P
    (ANDUAT, Kumarganj, Ayodhya, 2021-03-10) Gupta, Ravi Prakash; Rai, Dr. V.N.
    The present investigation entitled “A Study on impact of climate change on Wheat crop yield and development of statistical models for pre- harvest forecast of crop - yield in Ayodhya district of eastern U.P” consists of five chapters including summary and conclusion. The purpose of the study is to develop statistical models for studying the relationship between weather variables and crop yield and to develop different forecast models based on discriminant function and principal component analysis. Time series data on wheat crop yield and weekly data from 44th SMW of previous year to 11th SMW of the following year on seven weather variables viz., minimum temperature, maximum temperature, relative humidity at 7 hour, relative humidity at 14 hour, wind velocity rainfall and rainy days covering the period from 1990-1991 to 2016-2017 have been utilized to study the relationship wheat crop yield and weather variables and development of pre-harvest forecast model. In all, eight models have been developed to study the relationship between crop yield and weather variables. The model-V has been found to be the best for studying the relationship between crop yield and weather variables. Statistical methodology using multiple regression, discriminant functions and principal component analysis for developing pre-harvest forecast model has been described. In all, 13 models (one based on regression, seven from discriminant function and six from principal component) have been developed for pre-harvest forecast model. The model-A is based on weather indices, D2 to D6 based on discriminant function and P1 to P2 based on principal component analysis have been developed. On the basis of Adjust R2, RMSE and PSE, the best three models for both technique obtained by the application of discriminant function and principal component analysis of weekly weather data are D2, D3 & D6 and P1, P2 & P3 respectively. These models can be used to get the reliable forecast of wheat one and half months before the harvest.
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    ThesisItemOpen Access
    Growth models for sugarcane production in uttar pradsh
    (ANDUAT, Kumaraganj, Ayodhya, 2013-07-06) Rao, Vishwajeet Pratap; Sisodia, Dr. B.V.S.
    The present investigation entitled “growth models for sugarcane production in Uttar Pradesh.” consist five chapters including summary and conclusion. The purpose of the study is to find trend and growth rate of sugarcane area, production and productivity in different three last decades in Uttar Pradesh. The Chapter –I, introduces the subject of investigation. The main objectives are also outlined in this chapter. The review of relevant literature is presented in Chapter-II. The material and methods are described in Chapter-III. The time series data on sugarcane area, production and productivity in Uttar Pradesh, pertaining to periods 1980-81 to 2009-10, were used for investigation of trend and growth rate of sugarcane area, production and productivity. The relevant statistical tools & technology like regression analysis etc. have been used for the purpose of investigation mentioned above. The results are presented in chapter-IV. On the overall, the results show that the growth rate of sugarcane area, production and productivity has increased during all the decades and during the entire period of the study.
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    ThesisItemOpen Access
    An empirical study for estimation crop production at smaller geographical area based on various factors including wheather variables
    (ANDUAT, Kumarganj Ayodhya, 2016-07-08) Shukla, Ashish; Sisodia, B.V.S.
    The present thesis consists five chapters including summary and conclusion. The Chapter-I introduces the subject of investigation and main objectives are also outlined in this chapter. The review of relevant literature is presented in Chapter-II. The research methodology and material are described in Chapter-III. The time series data on wheat production, per cent irrigated area under wheat crop, fertilizer consumption for wheat, per cent relative area under wheat crop as per cent of gross cropped area, weather indices for maximum temperature, minimum temperature and wind velocity pertaining to the period 1990-91 to 2008-09 for Sultanpur district of Uttar Pradesh, India, have been considered for an empirical investigation. Block- wise time series data have also been used for estimating block level wheat production. The data on weather indices at district level has also been used at Block level. The main objectives of the Thesis are to develop empirical predictive model for estimation of crop production at Block level using weather variables and other factors. The result are presented in Chapter- IV. The inclusion of weather variables in the model as an explanatory variable brought little bit reduction in the percent standard errors of the estimators for wheat production at Block level.
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    ThesisItemOpen Access
    A Study On Growth And Instability Of Potato Production In Uttar Pradesh
    (ANDUAT,KUMARGANJ,AYODHYA, 2013-07-08) Kumar, Anuj; Sisodia, B.V.S.
    The Present Investigation Entitled "A Study On Growth And Instabillity of Potato production in Uttar Pradesh." consist on five chapters including summary and conclusion.this study has been carried out to examine the trend and growth rate of potato area, production and productivity in different periods in Uttar Pradsh.
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    ThesisItemOpen Access
    DEVELOPMENT OF YIELD FORCAST MODELS WITH THE STUDY ON IMPACT OF CLIMATE CHANGE FOR RICE AND WHEAT CROP IN AZAMGARH DISTRICT OF EASTERN UTTAR PRADESH
    (ANDUAT,KUMARGANJ,AYODHYA, 2021-08-21) SINGH, NEERAJ; RAI, V.N.
    The present investigation entitled “Development of Yield Forecast Models with the study on impact of climate change for Rice and Wheat crop in Azamgarh District of Eastern Uttar Pradesh” consists of five chapters including summary and conclusion. The purpose of the study is to develop statistical models for studying the relationship between weather variables and crop yield and to develop different forecast models based on discriminant function and principal component analysis. Time series data on rice & wheat yield and weekly data from 23rd to 38th SMW and 44th to 7th SMW of next year respectively of the following year on five weather variables viz., minimum temperature, maximum temperature, rainfall, wind velocity and sun shine hour covering the period from 2000-01 to 2017-2018 have been utilized to study the relationship between rice & wheat crop yield and weather variables and development of pre-harvest forecast model. Correlation analysis and 5 regression models have been developed to study the relationship of rice and wheat crop yield with the different weather variables.
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    ThesisItemOpen Access
    A STUDY ON STATISTICAL METHODOLOGY FOR ESTIMATION OF SEED REPLACEMENT OF CROPS IN MILKIPUR BLOCK OF FAIZABAD DISTRICT,U.P.
    (ANDUAT,KUMARGANJ,AYODHYA, 2011-02-23) SINGH, HARGOVIND; DUBE, DR.L.K.
    The present investigation entitled “A study on statistical methodology for estimation of seed replacement of crops in Milkipur Block of Faizabad district, U.P.” consists of five chapters including summary. The purpose of study is to study the profile of sample farmers to develop suitable sampling methodology for seed replacement rate in few kharif crop for the year 2009-10 in Milkipur Block of Faizabad district and to find out the best sampling strategy for estimating the seed replacement rate in few Kharif crops like Paddy, Sugarcane ,Arhar, Urd and Jowar for the year 2009-10
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    ThesisItemOpen Access
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    ThesisItemOpen Access
    A Statistical Study on the Estimation of Parameters of a Finite Population in Sample Surveys
    (ANDUAT, Kumarganj, Ayodhya, 2020) Tiwari, Ashish; Manish Kumar
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    ThesisItemOpen Access
    Model based calibration estimators for finite population parameters in sample survey
    (ANDUAT, Kumarganj, Ayodhya, 2017) Sandeep Kumar; Rai, V.N.
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