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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
Chapter
Part of the Algorithms for Intelligent Systems book series (AIS)

Abstract

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.

References

  1. 1.
    Aggarwal et al (2010) Managing climatic risks to combat land degradation and enhance food security: key information needs. Proc Environ Sci 1:305–312CrossRefGoogle Scholar
  2. 2.
    Allen RG, Pereira LS, Raes D, Smith M (1998) Crop evapotranspiration-guidelines for computing crop water requirements-FAO irrigation and drainage paper 56. FAO, Rome 300(9):D05109Google Scholar
  3. 3.
    Atal KR, Zende AM (2015) Wet and dry spell characteristics of semi-arid region, western Maharashtra, India E-proceedings of the 36th IAHR world congress, deltas of the future and what happens upstream, pp 1–7. International Association for Hydro-Environment Engineering and Research-IAHR, The Hague, The NetherlandsGoogle Scholar
  4. 4.
    Balaghi et al (2010) Managing climatic risks for enhanced food security: key information capabilities. Proc Environ Sci 1:313–323Google Scholar
  5. 5.
    Bantilan MCS, Aupama KV (2006) Vulnerability and adaptation in dryland agriculture in India’s SAT: experiences from ICRISAT’s village-level studies. J SAT Agric Res 2(1):1–14Google Scholar
  6. 6.
    Burrough PA, McDonnell RA (1998) Principles of geographical information systems. Oxford University Press Inc., New York, pp 333–340Google Scholar
  7. 7.
    Coe R, Stern RD (2011) Assessing and addressing climate-induced risk in sub-Saharan rainfed agriculture: lessons learned. Exp Agric 47(02):395–410CrossRefGoogle Scholar
  8. 8.
    Cooper PJM, Dimes J, Rao KPC, Shapiro B, Shiferaw B, Twomlow S (2008) Coping better with current climatic variability in the rain-fed farming systems of sub-Saharan Africa: an essential first step in adapting to future climate change? Agric Ecosyst Environ 126(1):24–35Google Scholar
  9. 9.
    Dawane PR (2015) A comparative study of dairy co-operative unions in Satara district. Doctoral dissertation. http://hdl.handle.net/10603/34954
  10. 10.
    Gautam R, Rao J (2007) Integrated water management-concepts of rainfed agriculture. Central Research Institute of Dryland Agriculture (CRIDA), IARI. http://nsdl.niscair.res.in/jspui/bitstream/123456789/554/1/Conceptsofrainfedagriculture-Formatted.pdf
  11. 11.
    Hargreaves GH (1994) Simplified coefficients for estimating monthly solar radiation in North America and Europe, departmental paper, Department of boiler and irrigation engineering, Utah State University, Logan, UtahGoogle Scholar
  12. 12.
    Himani (2014) An analysis of agriculture sector in indian economy. IOSR J Human Soc Sci 19(1):47–54Google Scholar
  13. 13.
    Hochman Z, Horan H, Reddy DR, Sreenivas G, Tallapragada C, Adusumilli R, Roth CH (2017) Smallholder farmers managing climate risk in India: 1. Adapting to a variable climate. Agric Syst 150:54–66CrossRefGoogle Scholar
  14. 14.
    Jagannath B (2014) Rainfall trend in drought prone region in eastern part of Satara district of Maharashtra, India. Euro Acad Res 2(1):329–340Google Scholar
  15. 15.
    Krishna Kumar K, Rupa Kumar K, Ashrit RG, Deshpande NR, Hansen JW (2004) Climate impacts on Indian agriculture. Int J Climatol 24(11):1375–1393CrossRefGoogle Scholar
  16. 16.
    Mall RK, Singh R, Gupta A, Srinivasan G, Rathore LS (2006) Impact of climate change on Indian agriculture: a review. Clim Change 78(2–4):445–478Google Scholar
  17. 17.
    Mathur AS, Das S, Sircar S (2006) Status of agriculture in India: trends and prospects. Econ Polit Weekly 41(52):5327–5336Google Scholar
  18. 18.
    Meinke H, Nelson R, Kokic P, Stone R, Selvaraju R, Baethgen W (2006) Actionable climate knowledge: from analysis to synthesis. Clim Res 33(1):101–110CrossRefGoogle Scholar
  19. 19.
    Pandey MM (2009) Indian agriculture—an introduction [Country Report]. Asian and Pacific centre for agricultural engineering and machinery (APCAEM). Thailand, Country Report, IndiaGoogle Scholar
  20. 20.
    Philip GM, Watson DF (1982) A precise method for determining contoured surfaces. Aust Pet Explor Assoc J 22(1):205–212Google Scholar
  21. 21.
    Sarker RP, Biswas BC (1978) Agricultural meteorology in India: a status report. In: Agroclimatological research needs of the semi-arid tropics, proceedings of the international workshop on the agroclimatological research needs of the semi-arid tropics. International Crops Research Institute for the Semi-Arid TropicsGoogle Scholar
  22. 22.
    Sharma VP (2011) India’s agricultural development under the new economic regime: policy perspective and strategy for the 12th five year plan. Indian Institute of ManagementGoogle Scholar
  23. 23.
    Singh HP, Venkateswarlu B, Vittal KPR, Ramachandran K (2000) Management of rainfed agro-ecosystem. In: Proceedings of the international conference on managing natural resources for sustainable agricultural production in the 21st century, pp 14–18Google Scholar
  24. 24.
    Sinha SK, Singh GB, Rai M (1998) Decline in crop productivity in Haryana and Punjab: myth or reality. Indian Council of Agricultural Research, New Delhi, IndiaGoogle Scholar
  25. 25.
    Watson DF, Philip GM (1985) A refinement of inverse distance weighted interpolation. Geo-processing 2(4):315–327Google Scholar
  26. 26.
    Zende AM, Nagarajan R, Atal KR (2012) Rainfall trend in semi arid region-Yerala river basin of western Maharashtra, India. Int J Adv Technol 3:137–145Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

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

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