Difference between revisions of "Team:NCTU Formosa/Applied Design"

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<head>
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  <meta charset="UTF-8">
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  <title>Design</title>
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  <style>
  
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<div class="column full_size judges-will-not-evaluate">
 
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<h3>★  ALERT! </h3>
 
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<p>This page is used by the judges to evaluate your team for the <a href="https://2018.igem.org/Judging/Medals">medal criterion</a> or <a href="https://2018.igem.org/Judging/Awards"> award listed below</a>. </p>
 
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<p> Delete this box in order to be evaluated for this medal criterion and/or award. See more information at <a href="https://2018.igem.org/Judging/Pages_for_Awards"> Instructions for Pages for awards</a>.</p>
 
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</div>
 
  
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<div class="column full_size">
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    .cover{
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<h1>Applied Design</h1>
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      width: 100%;
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</div>
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    }
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<div class="clear"></div>
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    .title_title{
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      margin-left: 40%;
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      margin-bottom: 30px;
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<div class="column two_thirds_size">
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    .title{
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<h3>Best Applied Design Special Prize</h3>
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      margin: 50px;
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      text-align: center;
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<p>This is a prize for the team that has developed a synbio product to solve a real world problem in the most elegant way. The students will have considered how well the product addresses the problem versus other potential solutions, how the product integrates or disrupts other products and processes, and how its lifecycle can more broadly impact our lives and environments in positive and negative ways.
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    .title_1{
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<br><br>
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      font-size: 6vmin;
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To compete for the <a href="https://2018.igem.org/Judging/Awards">Best Applied Design prize</a>, please describe your work on this page and also fill out the description on the <a href="https://2018.igem.org/Judging/Judging_Form">judging form</a>.
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      width: 75%;
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<br><br>
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      margin: 50px;
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You must also delete the message box on the top of this page to be eligible for this prize.
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</p>
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</div>
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      margin: 50px;
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      margin-left: 15%;
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<div class="column third_size">
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    .title_3{
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<div class="highlight decoration_A_full">
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<h3>Inspiration</h3>
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<p>Take a look at what some teams accomplished for this prize.</p>
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<ul>
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      margin-left: 17.5%;
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<li><a href="https://2016.igem.org/Team:NCTU_Formosa/Design">2016 NCTU Formosa</a></li>
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      margin-right: 17.5%;
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<li><a href="https://2016.igem.org/Team:HSiTAIWAN/Product?locationId=Design">2016 HSiTAIWAN</a></li>
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      margin-top: 20px;
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<li><a href="https://2016.igem.org/Team:Pasteur_Paris/Design">2016 Pasteur Paris</a></li>
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      margin-bottom: 40px;
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</ul>
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      text-align: justify;
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</div>
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</div>
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      margin-top: 20px;
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<body>
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  <div class="wrapper">
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    <div class="banner">
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      <img class="cover" src="https://static.igem.org/mediawiki/2018/3/3a/T--NCTU_Formosa--Project2.0.png">
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      <a href="https://2018.igem.org/Team:NCTU_Formosa/Project/Description"><img src="https://static.igem.org/mediawiki/2018/9/9c/T--NCTU_Formosa--description_button.png" class="description"></a>
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      <a href="https://2018.igem.org/Team:NCTU_Formosa/Applied_Design"><img src="https://static.igem.org/mediawiki/2018/4/46/T--NCTU_Formosa--design_button.png" class="design"></a>
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      <a href="https://2018.igem.org/Team:NCTU_Formosa/Hardware"><img src="https://static.igem.org/mediawiki/2018/0/09/T--NCTU_Formosa--hardware_button.png" class="hardware"></a>
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      <a href="https://2018.igem.org/Team:NCTU_Formosa/Demonstrate"><img src="https://static.igem.org/mediawiki/2018/6/6f/T--NCTU_Formosa--demostration_button.png" class="demonstration"></a>
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      <a href="https://2018.igem.org/Team:NCTU_Formosa/Entrepreneurship"><img src="https://static.igem.org/mediawiki/2018/f/fd/T--NCTU_Formosa--Entre.png" class="improvement"></a>
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    </div>
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    <div class="sec1">
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      <img src="https://static.igem.org/mediawiki/2018/a/a5/T--NCTU_Formosa--project_design.png" class="title_title">
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      <div class="text">
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        <p>
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          &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Plant B is an intelligent farming system capable of preserving soil integrity while increasing crop growth – a desperately needed alternative in an age where unprecedented population growth is met with alarming degradation of soil. Our project integrates artificial intelligence in the supplementation of soil, achieving precision farming through pinpoint regulation of soil microbiota using bio-stimulators. Models constructed with machine learning are strengthened over time through connection to an IoTtalk platform, which allows constant calibration through feedback of data. The specificity of nature and the accuracy of machine meld together in a single product designed to revitalize agriculture through the power of synthetic biology.
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        </p>
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      </div>
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      <div class="title_1"><p>What is “Bio-stimulators”?</p></div>
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      <div class="text">
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        <p>
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          &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;In the context of our system, bio-stimulators are anything that improve crop output or soil health while affecting soil bacteria, and can include fertilizers, bacteria and peptides. Our product explores the potential of novel, highly efficient bio-stimulators in the form of bacteriocins, which are small antimicrobial peptides naturally produced by bacteria themselves. Designed to inhibit nearby related strains to provide a competitive edge, bacteriocins are highly specific and degrade quickly, presenting little threat to the surrounding environment and any nearby organisms. Their high specificity and extreme efficiency make them perfect for the role as precision regulatory agents.
 +
        </p>
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      </div>
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      <div class="title_1"><p>Product Design</p></div>
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      <div class="text">
 +
        <p>
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          &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Plant B is designed for use on a real farm; NGS data is first collected from soil samples to define soil conditions. The use of bio-stimulators provides figures for constructing a microbial prediction model through machine learning, with subsequent applications providing data for self-learning through feedback. Accumulation of data helps the model adapt to the specific soil conditions, eventually achieving precise predictions of bio-stimulator effect on bacterial distribution and allowing for healthy fertilization. Finally, sensors connected to an IoTtalk platform allow for real-time monitoring of various soil conditions that determine optimal spacing of bio-stimulator application to achieve maximum soil efficiency with minimal labor. Plant B is an approachable and practical alternative, attaining both productivity and sustainability and paving the way to modern agriculture.
 +
        </p>
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      </div>
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      <div class="pic">
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      </div>
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{{NCTU_Formosa/Top_button}}
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{{NCTU_Formosa/Footer}}

Latest revision as of 15:51, 3 December 2018

HOME
TEAM
PROJECT
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Results
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PARTS
Parts
Basic Parts
Composite Parts
Part Collection
SAFETY
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Silver HP
Integrated and Gold
Public Engagement
AWARDS
Applied Design
Entrepreneurship
Hardware
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     Plant B is an intelligent farming system capable of preserving soil integrity while increasing crop growth – a desperately needed alternative in an age where unprecedented population growth is met with alarming degradation of soil. Our project integrates artificial intelligence in the supplementation of soil, achieving precision farming through pinpoint regulation of soil microbiota using bio-stimulators. Models constructed with machine learning are strengthened over time through connection to an IoTtalk platform, which allows constant calibration through feedback of data. The specificity of nature and the accuracy of machine meld together in a single product designed to revitalize agriculture through the power of synthetic biology.

What is “Bio-stimulators”?

     In the context of our system, bio-stimulators are anything that improve crop output or soil health while affecting soil bacteria, and can include fertilizers, bacteria and peptides. Our product explores the potential of novel, highly efficient bio-stimulators in the form of bacteriocins, which are small antimicrobial peptides naturally produced by bacteria themselves. Designed to inhibit nearby related strains to provide a competitive edge, bacteriocins are highly specific and degrade quickly, presenting little threat to the surrounding environment and any nearby organisms. Their high specificity and extreme efficiency make them perfect for the role as precision regulatory agents.

Product Design

     Plant B is designed for use on a real farm; NGS data is first collected from soil samples to define soil conditions. The use of bio-stimulators provides figures for constructing a microbial prediction model through machine learning, with subsequent applications providing data for self-learning through feedback. Accumulation of data helps the model adapt to the specific soil conditions, eventually achieving precise predictions of bio-stimulator effect on bacterial distribution and allowing for healthy fertilization. Finally, sensors connected to an IoTtalk platform allow for real-time monitoring of various soil conditions that determine optimal spacing of bio-stimulator application to achieve maximum soil efficiency with minimal labor. Plant B is an approachable and practical alternative, attaining both productivity and sustainability and paving the way to modern agriculture.

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