Combined Location Online Weather Data: Easy-to-use Targeted Weather Analysis for Agriculture

التفاصيل البيبلوغرافية
العنوان: Combined Location Online Weather Data: Easy-to-use Targeted Weather Analysis for Agriculture
المؤلفون: Yates, Darren, Blanchard, Christopher, Clarke, Allister, Rehman, Sabih-Ur, Islam, Md Zahidul, Ford, Russell, Walsh, Rob
سنة النشر: 2023
المجموعة: Computer Science
مصطلحات موضوعية: Computer Science - Social and Information Networks, J.2
الوصف: 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.
Comment: 21 pages, 11 figures, original research paper
نوع الوثيقة: Working Paper
الوصول الحر: http://arxiv.org/abs/2302.06142Test
رقم الانضمام: edsarx.2302.06142
قاعدة البيانات: arXiv