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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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National Academy of Agricultural Sciences (NAAS)
NAAS Score: *5.38 (2020)
[Effective from January 1, 2020]
For more details click here

ICV 2018: 95.39
Index Copernicus ICI Journals Master List 2018 - IJCMAS--ICV 2018: 95.39
For more details click here

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PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : editorijcmas@gmail.com / submit@ijcmas.com
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2020.9(8): 2490-2495
DOI: https://doi.org/10.20546/ijcmas.2020.908.284


Estimated Yield Forecasting of Rice and Wheat for Central Uttar Pradesh using Statistical Modal
Naushad Khan, Ajay Kumar*, Vijay Dubey, C.B. Singh, Sanjeev Kumar and Shubham Singh
Department of Agronomy, Chandra Shekhar Azad University of Agriculture & Technology, Kanpur Uttar Pradesh, India
*Corresponding author
Abstract:

Twenty three years (1992-2015) weather data of rainfall (mm), Maximum and Minimum temperature (0C), maximum and minimum relative humidity (%) and yield data of rice and wheat crop for 12 districts were used for yield prediction using statistical method under FASAL Project, Department of Agronomy, Chandra Shekhar Azad University of Agriculture & Technology, Kanpur Uttar Pradesh. The regression equation was generated for statistical method using SPSS package. The models were validated using 2 year (2016 and 2017) data. The result indicated that model explained 45 to 73 percent variation in rice crop yield and 49 to 74 percent variation in wheat crop in different districts. The F value 13.53 (Mathura) to 57.20 (Auraiya) variation for rice crop and 11.42 (Agra) to 54.51 (Mainpuri) variation for wheat crop was observed in different districts. The percent standard error was between 90.67 (Farrukhabad) to 217.73 (Auraiya) for rice crop and 153 (Mathura) to 252 (Kanpur Dehat) for wheat crop. This revealed that the models can be used to some extent for yield prediction in different districts of Central Uttar Pradesh.


Keywords: Rice, Yield forecast, Central Uttar Pradesh, Weather data and SMW
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How to cite this article:

Naushad Khan, Ajay Kumar, Vijay Dubey, C.B. Singh, Sanjeev Kumar and Shubham Singh. 2020. Estimated Yield Forecasting of Rice and Wheat for Central Uttar Pradesh using Statistical Modal.Int.J.Curr.Microbiol.App.Sci. 9(8): 2490-2495. doi: https://doi.org/10.20546/ijcmas.2020.908.284