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<p class="content-1">Overview</p> | <p class="content-1">Overview</p> | ||
<p class="content">TaiwanPP_FTP is a software collaboration between NYMU-Taipei and NCTU_Formosa. As the teams that both care about agricultural issues, we collaborated with NYMU-Taipei iGEM team to create innovative software that can predict the tendency of pest prospering shortly. The software will able to give detailed information of farm condition and give advice for farmers to prepare earlier before the threat.</p> | <p class="content">TaiwanPP_FTP is a software collaboration between NYMU-Taipei and NCTU_Formosa. As the teams that both care about agricultural issues, we collaborated with NYMU-Taipei iGEM team to create innovative software that can predict the tendency of pest prospering shortly. The software will able to give detailed information of farm condition and give advice for farmers to prepare earlier before the threat.</p> | ||
− | <p class="content">We built up a prediction model by using the most popular way called machine learning for a variety insects. Through training a computer with a great amount of data, the computer will be able to analyze the relationship between input conditions and the outcomes. Finally, it can provide an accurate prediction which is the useful information for farm owners.</p> | + | <p class="content">We built up a prediction model by using the most popular way called machine learning for a variety insects. Through training a computer with a great amount of data, the computer will be able to analyze the relationship between input conditions and the outcomes. Finally, it can provide an accurate prediction which is the useful information for farm owners.(go to <a href="http://taiwanpp.byethost8.com/web/backbone.html?i=2"style="color:#44E287;">Website</a>)</p> |
<p class="content-1">The Aim of TaiwanPP_FTP</p> | <p class="content-1">The Aim of TaiwanPP_FTP</p> | ||
− | <p class="content">We hope this tool could be user-friendly. All the information could be accessed through the Internet freely. It is remarkable if users could use the existing data to recreate another great application for the world. The product was a convenient web page that will show the predicted number of pests in the following three days of each observation station in Taiwan. All the source code and data are already on GitHub.</p> | + | <p class="content">We hope this tool could be user-friendly. All the information could be accessed through the Internet freely. It is remarkable if users could use the existing data to recreate another great application for the world. The product was a convenient web page that will show the predicted number of pests in the following three days of each observation station in Taiwan. All the source code and data are already on GitHub.(see on <a href="https://github.com/IandRover/TaiwanPP_FTP" style="color:#44E287;">GitHub1</a> and <a href="https://github.com/IandRover/Pests_prediction_github" style="color:#44E287;">GitHub2</a>)</p> |
<p class="content-1">The Process of Collaboration</p> | <p class="content-1">The Process of Collaboration</p> |
Revision as of 16:03, 18 October 2016