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Spatial targeting of ICT-based weather and agro-advisory services for climate risk management in agriculture

Author

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  • Prasun K. Gangopadhyay

    (International Maize and Wheat Improvement Centre (CIMMYT))

  • Arun Khatri-Chhetri

    (International Maize and Wheat Improvement Centre (CIMMYT))

  • Paresh B. Shirsath

    (International Maize and Wheat Improvement Centre (CIMMYT))

  • Pramod K. Aggarwal

    (International Maize and Wheat Improvement Centre (CIMMYT))

Abstract

The increasing frequency of climatic risks, such as flood, drought, heat and cold waves, is causing significant loss of farm productivity and income in agriculturally dependent communities. Timely availability of reliable information on weather conditions, agro-advisories, and market information can help to minimize losses in agriculture. This paper presents a scientific and integrated approach to identify areas of high agriculture vulnerability to climate change and availability of ICT services for dissemination of CSA information in the vulnerable areas. This study was illustrated for India where the majority of the population depends on agriculture for their livelihoods, and this sector is highly vulnerable to climate change. The study presents four regions: i) high agriculture vulnerability and low ICT services, ii) high agriculture vulnerability and high ICT services, iii) low agriculture vulnerability and low ICT services, and iv) low agriculture vulnerability and high ICT services. This methodology, which is simple, uses available data, and is easy to apply, can be useful to prioritize locations for climate-smart interventions, mode of CSA information dissemination using ICT services, and increase coverage of agro-ICT services through development of ICT services in the locations where climate change impact is high and ICT services are very low. This study also showed that there is a need to improve the quality of existing climate information and agro-advisory services in the climate risk-prone areas.

Suggested Citation

  • Prasun K. Gangopadhyay & Arun Khatri-Chhetri & Paresh B. Shirsath & Pramod K. Aggarwal, 2019. "Spatial targeting of ICT-based weather and agro-advisory services for climate risk management in agriculture," Climatic Change, Springer, vol. 154(1), pages 241-256, May.
    • Handle: RePEc:spr:climat:v:154:y:2019:i:1:d:10.1007_s10584-019-02426-5
    DOI: 10.1007/s10584-019-02426-5
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    1. Dunnett, A. & Shirsath, P.B. & Aggarwal, P.K. & Thornton, P. & Joshi, P.K. & Pal, B.D. & Khatri-Chhetri, A. & Ghosh, J., 2018. "Multi-objective land use allocation modelling for prioritizing climate-smart agricultural interventions," Ecological Modelling, Elsevier, vol. 381(C), pages 23-35.
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    Cited by:

    1. Das, Usha & Ansari, M.A. & Ghosh, Souvik, 2022. "Effectiveness and upscaling potential of climate smart agriculture interventions: Farmers' participatory prioritization and livelihood indicators as its determinants," Agricultural Systems, Elsevier, vol. 203(C).
    2. Heena Panchasara & Nahidul Hoque Samrat & Nahina Islam, 2021. "Greenhouse Gas Emissions Trends and Mitigation Measures in Australian Agriculture Sector—A Review," Agriculture, MDPI, vol. 11(2), pages 1-16, January.
    3. Paresh B. Shirsath & Vinay Kumar Sehgal & Pramod K. Aggarwal, 2020. "Downscaling Regional Crop Yields to Local Scale Using Remote Sensing," Agriculture, MDPI, vol. 10(3), pages 1-14, March.
    4. Emileva, Begaiym & Kuhn, Lena & Bobojonov, Ihtiyor & Glauben, Thomas, 2023. "The role of smartphone-based weather information acquisition on climate change perception accuracy: Cross-country evidence from Kyrgyzstan, Mongolia and Uzbekistan," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 41, pages 1-1.

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