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

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

P. Chandra Shaker Reddy

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Dr. A. Suresh Babu

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Jawaharlal Nehru Technological University Anantapur

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

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Abstract

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.

References

13 Cites in Article

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Funding

No external funding was declared for this work.

Conflict of Interest

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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How to Cite This Article

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

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Journal Specifications

Crossref Journal DOI 10.17406/GJSFR

Print ISSN 0975-5896

e-ISSN 2249-4626

Keywords

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Classification

GJSFR-D Classification FOR Code: 079999

Submission ReceivedOctober 24, 2017
Peer Review Double Blind
Handling Editor
Accepted November 13, 2017
Published November 24, 2017

Version of record

v1.2

Issue date

January 20, 2018

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Article Matrices

Total Score: 107

Country: India

Subject: Global Journal of Science Frontier Research - D: Agriculture & Veterinary

Authors: P. Chandra Shaker Reddy, Dr. A. Suresh Babu (PhD/Dr. count: 1)

View Count (all-time): 165

Total Views (Real + Logic): 3259

Total Downloads (simulated): 1600

Publish Date: 2018 01, Sat

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Total Views: 3259

Total Downloads: 1600

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