A Novel Approach to Analysis District Level Long Scale Seasonal Forecasting of Monsoon Rainfall in Andhra Pradesh and Telangana

1
P. Chandra Shaker Reddy
P. Chandra Shaker Reddy
2
Dr. A. Suresh Babu
Dr. A. Suresh Babu
1 JNTUA, Ananthapur

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GJSFR Volume 17 Issue D6

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A Novel Approach to Analysis District Level Long Scale Seasonal Forecasting of Monsoon Rainfall in Andhra Pradesh and Telangana Banner
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India is a nation which purely relies on agriculture, so rainfall prediction is very important for agriculture to make crop management decisions. Long scale forecast of rainfall during monsoon season (southwest and northeast), at the spatial firmness of a district, could serve as a significant comment to the agricultural community to take better decisions in yield management. Such forecasts are not producing efficient results which are available now. In this paper rainfall, crops and soil data of Andhra Pradesh (AP) & Telangana (TS) states are gathered to analyze rainfall patterns based on soil for crop management. Variety of crops needs adequate rainfall based on their different categories. In this paper, we are proposing a model which relates the analysis of rainfall patterns, soil types and several crops grown in two states on seasonal wise.

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No external funding was declared for this work.

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The authors declare no conflict of interest.

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No ethics committee approval was required for this article type.

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P. Chandra Shaker Reddy. 2018. \u201cA Novel Approach to Analysis District Level Long Scale Seasonal Forecasting of Monsoon Rainfall in Andhra Pradesh and Telangana\u201d. Global Journal of Science Frontier Research - D: Agriculture & Veterinary GJSFR-D Volume 17 (GJSFR Volume 17 Issue D6): .

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GJSFR Volume 17 Issue D6
Pg. 17- 24
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Crossref Journal DOI 10.17406/GJSFR

Print ISSN 0975-5896

e-ISSN 2249-4626

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GJSFR-D Classification: FOR Code: 079999
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v1.2

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January 20, 2018

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English

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India is a nation which purely relies on agriculture, so rainfall prediction is very important for agriculture to make crop management decisions. Long scale forecast of rainfall during monsoon season (southwest and northeast), at the spatial firmness of a district, could serve as a significant comment to the agricultural community to take better decisions in yield management. Such forecasts are not producing efficient results which are available now. In this paper rainfall, crops and soil data of Andhra Pradesh (AP) & Telangana (TS) states are gathered to analyze rainfall patterns based on soil for crop management. Variety of crops needs adequate rainfall based on their different categories. In this paper, we are proposing a model which relates the analysis of rainfall patterns, soil types and several crops grown in two states on seasonal wise.

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A Novel Approach to Analysis District Level Long Scale Seasonal Forecasting of Monsoon Rainfall in Andhra Pradesh and Telangana

P. Chandra Shaker Reddy
P. Chandra Shaker Reddy JNTUA, Ananthapur
Dr. A. Suresh Babu
Dr. A. Suresh Babu

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