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Combined location online weather data: easy-to-use targeted weather analysis for agriculture

Author

Listed:
  • Darren Yates

    (Charles Sturt University
    Charles Sturt University)

  • Christopher Blanchard

    (Charles Sturt University)

  • Allister Clarke

    (Charles Sturt University
    Food Agility Co-operative Research Centre)

  • Sabih-Ur Rehman

    (Charles Sturt University)

  • Md Zahidul Islam

    (Charles Sturt University)

  • Russell Ford

    (RLF Agro R&D Consulting)

  • Rob Walsh

    (Ricegrowers Ltd (SunRice))

Abstract

The continuing effects of climate change require farmers and growers to have greater understanding of how these changes affect crop production. However, while climatic data is generally available to help provide much of that understanding, it can often be in a form not easy to digest. The proposed Combined Location Online Weather Data (CLOWD) framework is an easy-to-use online platform for analysing recent and historical weather data of any location within Australia at the click of a map. CLOWD requires no programming skills and operates in any HTML5 web browser on PC and mobile devices. It enables comparison between current and previous growing seasons over a range of environmental parameters, and can create a plain-English PDF report for offline use, using natural language generation (NLG). This paper details the platform, the design decisions taken and outlines how farmers and growers can use CLOWD to better understand current growing conditions. Prototypes of CLOWD are now online for PCs and smartphones.

Suggested Citation

  • Darren Yates & Christopher Blanchard & Allister Clarke & Sabih-Ur Rehman & Md Zahidul Islam & Russell Ford & Rob Walsh, 2024. "Combined location online weather data: easy-to-use targeted weather analysis for agriculture," Climatic Change, Springer, vol. 177(9), pages 1-19, September.
    • Handle: RePEc:spr:climat:v:177:y:2024:i:9:d:10.1007_s10584-024-03793-4
    DOI: 10.1007/s10584-024-03793-4
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    References listed on IDEAS

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    1. Rose, David C. & Sutherland, William J. & Parker, Caroline & Lobley, Matt & Winter, Michael & Morris, Carol & Twining, Susan & Ffoulkes, Charles & Amano, Tatsuya & Dicks, Lynn V., 2016. "Decision support tools for agriculture: Towards effective design and delivery," Agricultural Systems, Elsevier, vol. 149(C), pages 165-174.
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