Agriculture is backbone of Indian economy, contributing about 40 per cent towards the Gross National Product and provide livelihood to about 70 per cent of the population. According to the national income published in Economic survey 2014-15, by the CSO, the share of agriculture in total GDP is 18 percent in 2013-14. The Rabi crops data released by the Directorate of Economics and Statistics recently indicates that the total area coverage has declined; area under wheat has gone down by 2.9 per cent. Therefore needs to be do research to study weather situation and effect on crop production. Pre harvest forecasting is true essence, is a branch of anticipatory sciences used for identifying and foretelling alternative feasible future. Crop yield forecast provided useful information to farmers, marketers, government agencies and other agencies. In this paper Multiple Linear Regression (MLR) Technique and discriminant function analysis were derived for estimating wheat productivity for the district of Varanasi in eastern Uttar Pradesh. The value of Adj. R 2 varied from 0.63 to 0.94 in different models. It is observed that high value of Adj. R 2 in the Model-2 which indicated that it is appropriate forecast model than other models, also the value of RMSE varied from minimum 1.17 to maximum 2.47. The study revealed that MLR techniques with incorporating technical and statistical indicators (Model 2) was found to be better for forecasting of wheat crop yield on the basis of both Adjusted R 2 and RMSE values.

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A large proportion of the Indian population is vegetarian and pulses are important sources of protein in the daily diet .In this paper an attempt has been made to summarize the overall nature of area, production and productivity of mung in India. By and large there has been considerable expansion in area, production and productivity of mung in all the states under study including whole India during the study period. Among the states under study, the maximum annual growth in area (9.75%) and production (14.55%) of mung was observed in Rajasthan. Bihar stands first in productivity of mung among the states under study. Rajasthan, Karnataka and Andhra Pradesh have fails to reach national average per hectare production of 367.37 kg/ha. In this paper an attempt has been made to summarize these measures along with some new measures with an objective to study the yield sustainability of particular crop over the growing regions and compare across the states/regions. Sustainability in yield of mung in different states along with whole India has been measured with the help of existing and proposed measures of sustainability indices. Whole India is showing higher sustainability in yield of mung as per the two existing and proposed methods. According to all the indices including developed two methods Rajasthan is having comparatively lower sustainability to produce mung among the states under study. Results of existing measures and proposed measure are almost in conformity with each other. From the forecasted value, it can be said that, mung productivity of India would increase to 408.84 kg/ha in 2022 as compared to 2012. In Mung, area, production and productivity Rajasthan would be leading state of India in 2022.This projection would be helpful for policy implication and planning.

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