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

Authors

  • P. Chandra Shaker Reddy

Keywords:

rainfall; DBSCAN; crop; forecast; SWM; NEM; soil; clustering; AP

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)

How to Cite

P. Chandra Shaker Reddy. (2017). A Novel Approach to Analysis District Level Long Scale Seasonal Forecasting of Monsoon Rainfall in Andhra Pradesh and Telangana. Global Journal of Science Frontier Research, 17(D6), 17–24. Retrieved from https://journalofscience.org/index.php/GJSFR/article/view/2138

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

Published

2017-05-15