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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
IJCMAS is now DOI (CrossRef) registered Research Journal. The DOIs are assigned to all published IJCMAS Articles.
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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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Original Research Articles

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): 3979-3985
DOI: https://doi.org/10.20546/ijcmas.2020.908.458


Crop Yield Forecasting of Sorghum (Sorghum bicolor L.) by using Statistical Technique for Tapi and Surat Districts of South Gujarat, India
Ashok Patidar1, S. K. Chandrawanshi1* and Neeraj Kumar2
1Agricultural Meteorological Cell, Department of Agricultural Engineering, N. M. College of Agriculture, Navsari Agriculture University, Navsari- 396 450 (Gujarat), India 2Krishi Vigyan Kendra Piproudh Katni, J.N.K.V.V., Jabalpur 483445, Madhya Pradesh, India
*Corresponding author
Abstract:

Regression models by Hendrick and Scholl technique were developed on sorghum for Tapi and Surat districts of South Gujarat. The daily weather data were used in the study as indicator in crop yield prediction were collected for a period of 32 years. The 28 year data was used for development of the model. The validation of model was done using data set of 2010, 2011, 2012 and 2013. The stepwise regression analysis was executed by trial and error method to obtain finest combination of predictors, significant at 5 % level. Crop yield forecasting models gave good estimates and produce error percent within acceptable range. The study reveled that the percent forecast error for different years were varied from 5.06 to 23.16 for yield forecasting models in Tapi district and -15.73 to 2.76 for yield forecasting models in Surat district for sorghum crop. Lowest RMSE observed in model-2 for both districts with value 11.21 and 8.5 for Tapi and Surat, respectively


Keywords: RMSE, Regression models, Yield forecasting
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How to cite this article:

Ashok Patidar, S. K. Chandrawanshi and Neeraj Kumar. 2020. Crop Yield Forecasting of Sorghum (Sorghum bicolor L.) by using Statistical Technique for Tapi and Surat Districts of South Gujarat, India.Int.J.Curr.Microbiol.App.Sci. 9(8): 3979-3985. doi: https://doi.org/10.20546/ijcmas.2020.908.458