Development of Algorithm for Spatial Modelling of Climate Data for Agriculture Management for the Semi-arid Area of Maharashtra in India

  • Vidya KumbharEmail author
  • T. P. Singh
Part of the Algorithms for Intelligent Systems book series (AIS)


Land suitability assessment is an important activity of crop productivity improvement process. It is the method of assessment of land performance for alternative kind of agriculture based to different parameters. For crop productivity improvement, the soil, climate, land use types and topographical features play an important role. The climate parameters as rainfall, temperature, reference evapotranspiration, crop evapotranspiration were considered for the current study. Researchers have proposed a system for climate data process algorithm named as “Day wise Spatial Climate Data Generation Process (DSCDGP)” which has automatized the process of generating spatial representation of daily climate data for the study area. The spatial representation of climate data generated with DSCDGP was validated against Tropical Rainfall Monitoring Mission (TRMM) satellite rainfall data. The results of correlation analysis for average rainfall between TRMM and Indian Meteorological Department (IMD) for the year 2012 was observed to be 0.865 and for the year 2013 was 0.990 and this determines that TRMM data can be effectively applied for research and data analysis purpose for the study area.


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© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Symbiosis Institute of Geoinformatics, Symbiosis International (Deemed University)PuneIndia

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