International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Original Research Articles                      Volume : 9, Issue:6, June, 2020

PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : /
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(6): 1437-1447

Rainfall Trend Analysis by ANN Method
Bhupendra Dhankar1* and Gunja Dhruw2
1SVCAET & RS IGKV Raipur, India
2Department of Farm Engineering, Inst. of Agri. Sci., BHU, Varanasi (UP), India
*Corresponding author

More than 60% of agricultural land in India is rainfed farming. But the amount of rainfall across India varies greatly with the location. (GKTODAY) Mawsynram receives 11690 mm of rainfall, While Eastern Rajasthan receives less than 150 mm of rainfall. In such a situation, proper management of rain water is very important so that proper amount of water is available at the right time for agriculture. Before doing the management of rain water, it is very important to know the rainfall trend of the area. It is very difficult to find the pattern of rainwater by human calculations. That is why many modeling methods have been developed. ANN is a modelling technique, which gives more accurate results than many physical and numerical modelling techniques. The study area is a macro-watershed of river Kelo, a tributary of Mahanadi River. In this paper, the results show that as the use of number of influencing variables increases, the accuracy increases. ANN technique gives accurate results in a very short period of time which makes the feasibility of this method. The results showed that the accuracy ranges from 93 to 98 percent with the different number of variables.

Keywords: Rainfall, ANN, Modelling, Variables, Accuracy

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How to cite this article:

Bhupendra Dhankar and Gunja Dhruw. 2020. Rainfall Trend Analysis by ANN Method.Int.J.Curr.Microbiol.App.Sci. 9(6): 1437-1447. doi:
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.