Development of a Statistical Yield Forecast Model for Rice Using Weather Variables Over Gorakhpur District of Eastern Uttar Pradesh

2020 ◽  
pp. 243-256
Author(s):  
R. Bhatla ◽  
Rachita Tulshyan ◽  
Babita Dani ◽  
A. Tripathi
Keyword(s):  
Uttar Pradesh ◽  
Forecast Model ◽  
Weather Variables ◽  
Yield Forecast ◽  
Eastern Uttar Pradesh

Use of CERES-Wheat model for wheat yield forecast in central Indo-Gangetic Plains of India

2004 ◽  
Vol 142 (1) ◽  
pp. 59-70 ◽  
Author(s):  
A. S. NAIN ◽  
V. K. DADHWAL ◽  
T. P. SINGH
Keyword(s):  
Simulation Model ◽  
Wheat Yield ◽  
Uttar Pradesh ◽  
Weather Data ◽  
Large Area ◽  
Data Set ◽  
Yield Forecast ◽  
Final Yield ◽  
Eastern Uttar Pradesh ◽  
Technology Trend

A methodology was developed for large area yield forecast using a crop simulation model and a discrete technology trend, and was applied to the coherent wheat yield variability zones of Eastern Uttar Pradesh, India. The approach consisted of three major steps: (a) prediction of technology trend yield using historical yield series of the region; (b) prediction of weather-induced deviation in wheat yield using CERES-Wheat simulation model and relating weather-induced deviation in simulated yield to deviation in observed yield deviations from technology trend; and (c) final yield forecast by incorporating predicted yield deviation in trend predicted yield. The regression coefficients for step (b) were generated using 10 years' data (1984/85–1994/95) and the reliability of the approach was tested on a data set of 5 years' independent data (1995/96–1999/2000). The results showed that this approach could capture year-to-year variability in large area wheat yield with reasonable accuracy. The Root Mean Square Error (RMSE) between observed and predicted yield was reported as 0·098 t/ha for the mean yield of 2·072 t/ha (4·72%). However, the RMSE was slightly higher in the forecasting period in comparison to the calibration period. The use of this methodology for issuing the pre-harvest forecast and the effect of upgrading the technology trend were also studied. The pre-harvest forecasts were made using in-season weather data up to the end of February and climatic-normal for the rest of the wheat-growing season, which showed good agreement with observed wheat yields. The forecasts of wheat yield for the season 1999/2000 were made using the technology trend up to 1994/95 and the updated technology trend up to 1998/99, which showed that the RMSE fell in the latter case, from 4·10 to 2·50%.

scholarly journals Different approaches on pre harvest forecasting of wheat yield

2015 ◽  
Vol 7 (2) ◽  
pp. 839-843
Author(s):  
Y. A. Garde ◽  
B. S. Dhekale ◽  
S. Singh
Keyword(s):  
Crop Yield ◽  
Crop Production ◽  
Function Analysis ◽  
Wheat Yield ◽  
National Income ◽  
Uttar Pradesh ◽  
Forecast Model ◽  
Wheat Crop ◽  
Yield Forecast ◽  
Rabi Crops

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 weathersituation 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. R2 varied from 0.63 to 0.94 in different models. It is observed that high value of Adj. R2 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 R2 and RMSE values.

ASTERACEOUS FLORA OF TERAI REGION OF EASTERN UTTAR PRADESH, INDIA

2017 ◽  
Vol 23 (1) ◽  
Author(s):  
KANCHAN LATA
Keyword(s):  
Uttar Pradesh ◽  
Eastern Uttar Pradesh ◽  
Systematic Identification

The systematic identification of 78 species belonging to 51 genera reported from Terai region of Eastern Uttar Pradesh, India. The present paper provides key to genera, list of plant with their habit, phenology and voucher number of each species.

Rotavirus Gastroenteritis in Eastern Uttar Pradesh, India

2021 ◽  
Author(s):  
Vineeta Gupta ◽  
Priyanka Aggarwal ◽  
Brajesh Kumar ◽  
Nayana P. Nair ◽  
Varunkumar Thiyagarajan ◽  
...  
Keyword(s):  
Uttar Pradesh ◽  
Rotavirus Gastroenteritis ◽  
Eastern Uttar Pradesh

scholarly journals Cyanophycean Algae from Eastern Uttar Pradesh, India

2009 ◽  
Vol 13 ◽  
pp. 35-39 ◽  
Author(s):  
P. K. Mishra ◽  
R. K. Mehrotra ◽  
Madhulika Shukla ◽  
Jai Prakash ◽  
Purnima Mishra
Keyword(s):  
Uttar Pradesh ◽  
Eastern Uttar Pradesh ◽  
First Time

In the present paper 10 Cyanophycean algae belonging 10 genera have been described from eastern U.P. The genera described are: Chroococcus, Microcystis, Aphanothece, Arthrospira, Spirulina, Lyngbya, Anabaena, Rivularia, and Gloeotrichia. All these forms are being reported for the first time from eastern U.P., India.doi: 10.3126/eco.v13i0.1627Key words: Cyanophycean algaeEcoprint (An International Journal of Ecology) Vol. 13, No. 1, 2006 Page: 35-39

scholarly journals Spectrum of hemoglobinopathies in Eastern Uttar Pradesh

2009 ◽  
Vol 76 (8) ◽  
pp. 857-857 ◽  
Author(s):  
Vineeta Gupta ◽  
Jyoti Shukla ◽  
Vijai Tilak ◽  
Baldev Bhatia
Keyword(s):  
Uttar Pradesh ◽  
Eastern Uttar Pradesh

scholarly journals Factors affecting default among pre-ART patients in Eastern Uttar Pradesh

2012 ◽  
Vol 12 (S1) ◽  
Author(s):  
Sangeeta Kansal ◽  
Shyam Sundar ◽  
Madhukar Rai ◽  
Narendra Kumar Tiwary ◽  
Jaya Chakravarty
Keyword(s):  
Uttar Pradesh ◽  
Factors Affecting ◽  
Eastern Uttar Pradesh

Prospects of Fisheries development in Ox-Bow lakes of Eastern Uttar Pradesh specially in Ballia district

2021 ◽  
Vol 27 (2) ◽  
Author(s):  
A.K. Jha ◽  
Deepak Kumar Dwivedi ◽  
D. K. Paul
Keyword(s):  
Present Article ◽  
Uttar Pradesh ◽  
Fish Production ◽  
Fish Yield ◽  
Physico Chemical ◽  
Eastern Uttar Pradesh

The present article deals with the fisheries development of three important Ox-Bow Lakes of Ballia district of eastern Uttar Pradesh in relation to physico-chemical and biological conditions. The results were found conducive for Fisheries development. The results indicate clearly that potential fish yield is not being realized from the lakes and there is immense scope for increase in Fish production.

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