Interactive Web‐based Data Visualization and Analysis Tool for Synthetizing on‐farm Research Networks Data
| Autor: | Heike Hofmann, Peter M. Kyveryga, David Makowski, Xiaodan Lyu, Anabelle Laurent, Fernando E. Miguez |
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| Přispěvatelé: | Iowa State University (ISU), Iowa Soybean Association, Mathématiques et Informatique Appliquées (MIA-Paris), AgroParisTech-Université Paris-Saclay-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), CLAND 16-CONV-0003, Iowa Soybean Association checkoff, Iowa State University |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Visual analytics
decision support tool Farms Nitrogen Computer science Information Dissemination visual analytics 01 natural sciences Field (computer science) Decision Support Techniques Education random effects model 010104 statistics & probability 03 medical and health sciences 0302 clinical medicine Data visualization Humans Web application [INFO]Computer Science [cs] 030212 general & internal medicine 0101 mathematics [MATH]Mathematics [math] Fertilizers Interactive visualization 2. Zero hunger Internet Farmers Models Statistical business.industry Data Visualization Agriculture 15. Life on land crop yield Data science Automatic summarization Crop Production Analytics [SDE]Environmental Sciences Soybeans business Software |
| Zdroj: | Research Synthesis Methods Research Synthesis Methods, 2021, 12 (1), pp.62-73. ⟨10.1002/jrsm.1440⟩ |
| Popis: | The on-farm research network concept enables a group of farmers to test new agricultural management practices under local conditions with support from local researchers or agronomists. Different on-farm trials based on the same experimental design are conducted over several years and sites to test the effectiveness of different innovative management practices aimed at increasing crop productivity and profitability. As a larger amount of historical trial data are being accumulated, data of all the trials require analyses and summarization. Summaries of on-farm trials are usually presented to farmers as individual field reports, which are not optimal for the dissemination of results and decision making. A more practical communication method is needed to enhance result communication and decision making. R Shiny is a new rapidly developing technology for turning R data analyses into interactive web applications. For the first time for on-farm research networks, we developed and launched an interactive web tool called ISOFAST using R Shiny. ISOFAST simultaneously reports all trial results about the same management practice to simplify interpretation of multi-site and multi-year summaries. We used a random-effects model to synthetize treatment differences at both the individual trial and network levels and generate new knowledge for farmers and agronomists. The friendly interface enables users to explore trial summaries, access model outputs, and perform economic analysis at their fingertips. This paper describes a case-study to illustrate how to use the tool and make agronomic management decisions based on the on-farm trial data. We also provided technical details and guidance for developing a similar interactive visualization tool customized for on-farm research network. ISOFAST is currently available at https://analytics.iasoybeans.com/cool-apps/ISOFAST/. |
| Databáze: | OpenAIRE |
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