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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.
Index Copernicus ICI Journals Master List 2018 - IJCMAS--ICV 2018: 95.39 For more details click here
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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(7): 1490-1497
DOI: https://doi.org/10.20546/ijcmas.2020.907.171


Comparative Study of ARIMAX-ANN Hybrid Model with ANN and ARIMAX Models to Forecast the Damage Caused by Yellow Stem Borer (Scirpophaga incertulas) in Telangana State
K. Supriya*
Department of Statistics & Mathematics, College of Agriculture, Rajendranagar, Hyderabad – 500 030, India
*Corresponding author
Abstract:

Agriculture plays a vital role in Indian economy. Among the cereals, Rice has shaped the culture, diet and economy of thousands of millions of people. The total Rice production in the world is 496.22 million metric tonnes as estimated by the United states Department of Agriculture in 2019 (USDA). India ranks second in rice production in the world with  the production of 115 million metric tones. In India, Rice productivity is low due to vagaries of monsoon, poor soil fertility, undulating topography, biotic stresses and lack of adoption of improved technologies. Among the biotic stresses insect pests constitute the key factor. In Telangana state, among the key insect pests of rice, Yellow stem borer (Scirpophaga incertulas) is one of the pests which causes major damage to the crop yields. In this study, three time series forecasting models, Artificial Neural Network (ANN), ARIMAX and ARIMAX-ANN Hybrid models were compared to forecast the damage caused by Yellow Stem borer (Scirpophaga incertulas) during both kharif and rabi seasons of Telangana state. To compare the effectiveness of these three models 30 years data both kharif and rabi seasons pertaining to Telangana state was used i.e., from 1990-2019. The results showed that the ARIMAX-ANN Hybrid model outperformed the ARIMAX and ANN Forecasting models.


Keywords: ANN, ARIMAX, ARIMAX-ANN Hybrid model, Forecasting and undulating topography
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How to cite this article:

Supriya, K. 2020. Comparative Study of ARIMAX-ANN Hybrid Model with ANN and ARIMAX Models to Forecast the Damage Caused by Yellow Stem Borer (Scirpophaga incertulas) in Telangana State.Int.J.Curr.Microbiol.App.Sci. 9(7): 1490-1497. doi: https://doi.org/10.20546/ijcmas.2020.907.171