| Line 224: | Line 224: | ||
The establishment of our system was inspired by the urgent need to figure out the solution to acidification problem. We visited the Agricultural Improvement Station and Professor Yang, a Chung Hsing University professor to find out just how big of a problem microbial imbalance is. They gave us tips on how to perform our experiments and meet the needs of the public. | The establishment of our system was inspired by the urgent need to figure out the solution to acidification problem. We visited the Agricultural Improvement Station and Professor Yang, a Chung Hsing University professor to find out just how big of a problem microbial imbalance is. They gave us tips on how to perform our experiments and meet the needs of the public. | ||
</p> | </p> | ||
| − | <a href="https://2018.igem.org/Team:NCTU_Formosa/Human_Practices">(Human Practice)</a> | + | <a href="https://2018.igem.org/Team:NCTU_Formosa/Human_Practices"><p>(Human Practice)</p></a> |
</div> | </div> | ||
<div class="title_1"><p>2. Improve a previous part or project</p></div> | <div class="title_1"><p>2. Improve a previous part or project</p></div> | ||
| Line 232: | Line 232: | ||
The establishment of our system was inspired by the urgent need to figure out the solution to acidification problem. We visited the Agricultural Improvement Station and Professor Yang, a Chung Hsing University professor to find out just how big of a problem microbial imbalance is. They gave us tips on how to perform our experiments and meet the needs of the public. | The establishment of our system was inspired by the urgent need to figure out the solution to acidification problem. We visited the Agricultural Improvement Station and Professor Yang, a Chung Hsing University professor to find out just how big of a problem microbial imbalance is. They gave us tips on how to perform our experiments and meet the needs of the public. | ||
</p> | </p> | ||
| − | <a href="https://2018.igem.org/Team:NCTU_Formosa/Improve">(Improvement)</a> | + | <a href="https://2018.igem.org/Team:NCTU_Formosa/Improve"><p>(Improvement)</p></a> |
</div> | </div> | ||
<div class="title_1"><p>3. Model your project</p></div> | <div class="title_1"><p>3. Model your project</p></div> | ||
| Line 240: | Line 240: | ||
We’ve built Microbiota prediction model, Peptide prediction model, Growth model, and Productivity model. By these models, we can achieve precise and AI agriculture. | We’ve built Microbiota prediction model, Peptide prediction model, Growth model, and Productivity model. By these models, we can achieve precise and AI agriculture. | ||
</p> | </p> | ||
| − | <a href="https://2018.igem.org/Team:NCTU_Formosa/Model">(Dry Lab)</a> | + | <a href="https://2018.igem.org/Team:NCTU_Formosa/Model"><p>(Dry Lab)</p></a> |
</div> | </div> | ||
<div class="title_1"><p>4. Demonstrate your work</p></div> | <div class="title_1"><p>4. Demonstrate your work</p></div> | ||
| Line 248: | Line 248: | ||
We’ve built Microbiota prediction model, Peptide prediction model, Growth model, and Productivity model. By these models, we can achieve precise and AI agriculture. | We’ve built Microbiota prediction model, Peptide prediction model, Growth model, and Productivity model. By these models, we can achieve precise and AI agriculture. | ||
</p> | </p> | ||
| − | <a href="https://2018.igem.org/Team:NCTU_Formosa/Demostrate">(Demonstration)</a> | + | <a href="https://2018.igem.org/Team:NCTU_Formosa/Demostrate"><p>(Demonstration)</p></a> |
</div> | </div> | ||
| Line 258: | Line 258: | ||
We have created a smart agriculture system that predicts an ideal amount of subtilis and other key bacteria for healthy soil and plant growth. Also, our feedback system can precisely predict how much bacteriocin is needed to produce an ideal balanced microbiota and bacteriocin performed as expect. Though NGS data analysis, we see whether our model and bacteriocin worked. | We have created a smart agriculture system that predicts an ideal amount of subtilis and other key bacteria for healthy soil and plant growth. Also, our feedback system can precisely predict how much bacteriocin is needed to produce an ideal balanced microbiota and bacteriocin performed as expect. Though NGS data analysis, we see whether our model and bacteriocin worked. | ||
</p> | </p> | ||
| − | <a href="https://2018.igem.org/Team:NCTU_Formosa/Parts">(Parts)</a> | + | <a href="https://2018.igem.org/Team:NCTU_Formosa/Parts"><p>(Parts)</p></a> |
</div> | </div> | ||
<div class="title_1"><p>2. Collaboration</p></div> | <div class="title_1"><p>2. Collaboration</p></div> | ||
| Line 266: | Line 266: | ||
We have created a smart agriculture system that predicts an ideal amount of subtilis and other key bacteria for healthy soil and plant growth. Also, our feedback system can precisely predict how much bacteriocin is needed to produce an ideal balanced microbiota and bacteriocin performed as expect. Though NGS data analysis, we see whether our model and bacteriocin worked. | We have created a smart agriculture system that predicts an ideal amount of subtilis and other key bacteria for healthy soil and plant growth. Also, our feedback system can precisely predict how much bacteriocin is needed to produce an ideal balanced microbiota and bacteriocin performed as expect. Though NGS data analysis, we see whether our model and bacteriocin worked. | ||
</p> | </p> | ||
| − | <a href="https://2018.igem.org/Team:NCTU_Formosa/Collaborations">(Collaboration)</a> | + | <a href="https://2018.igem.org/Team:NCTU_Formosa/Collaborations"><p>(Collaboration)</p></a> |
</div> | </div> | ||
<div class="title_1"><p>3. Human Practices</p></div> | <div class="title_1"><p>3. Human Practices</p></div> | ||
| Line 274: | Line 274: | ||
To fulfill the quality assurance of the project, we asked for many suggestions of professors, companies, and government agencies to build our project with the concern of safety, accuracy, logic, and the contribution to the world including the expansion of the iGEM competition. | To fulfill the quality assurance of the project, we asked for many suggestions of professors, companies, and government agencies to build our project with the concern of safety, accuracy, logic, and the contribution to the world including the expansion of the iGEM competition. | ||
</p> | </p> | ||
| − | <a href="https://2018.igem.org/Team:NCTU_Formosa/Human_Practices">(Human Practice)</a> | + | <a href="https://2018.igem.org/Team:NCTU_Formosa/Human_Practices"><p>(Human Practice)</p></a> |
</div> | </div> | ||
| Line 287: | Line 287: | ||
<div class="title_2"><p>Create a page on your team wiki with clear attribution of each aspect of your project.</p></div> | <div class="title_2"><p>Create a page on your team wiki with clear attribution of each aspect of your project.</p></div> | ||
<div class="text"> | <div class="text"> | ||
| − | <a href="https://2018.igem.org/Team:NCTU_Formosa/Attributions">(Attributions)</a> | + | <a href="https://2018.igem.org/Team:NCTU_Formosa/Attributions"><p>(Attributions)</p></a> |
</div> | </div> | ||
<div class="title_1"><p>4. Characterization / Contribution</p></div> | <div class="title_1"><p>4. Characterization / Contribution</p></div> | ||
| Line 295: | Line 295: | ||
We have created a smart agriculture system that predicts an ideal amount of subtilis and other key bacteria for healthy soil and plant growth. Also, our feedback system can precisely predict how much bacteriocin is needed to produce an ideal balanced microbiota and bacteriocin performed as expect. Though NGS data analysis, we see whether our model and bacteriocin worked. | We have created a smart agriculture system that predicts an ideal amount of subtilis and other key bacteria for healthy soil and plant growth. Also, our feedback system can precisely predict how much bacteriocin is needed to produce an ideal balanced microbiota and bacteriocin performed as expect. Though NGS data analysis, we see whether our model and bacteriocin worked. | ||
</p> | </p> | ||
| − | <a href="https://2018.igem.org/Team:NCTU_Formosa/InterLab">(InterLab)</a> | + | <a href="https://2018.igem.org/Team:NCTU_Formosa/InterLab"><p>(InterLab)</p></a> |
</div> | </div> | ||
1. Integrated Human Practices
Expand on your silver medal activity by demonstrating how you have integrated the investigated issues into the design and/or execution of your project.
The establishment of our system was inspired by the urgent need to figure out the solution to acidification problem. We visited the Agricultural Improvement Station and Professor Yang, a Chung Hsing University professor to find out just how big of a problem microbial imbalance is. They gave us tips on how to perform our experiments and meet the needs of the public.
(Human Practice)
2. Improve a previous part or project
Improve the function of an existing iGEM project and display your achievement on your wiki.
The establishment of our system was inspired by the urgent need to figure out the solution to acidification problem. We visited the Agricultural Improvement Station and Professor Yang, a Chung Hsing University professor to find out just how big of a problem microbial imbalance is. They gave us tips on how to perform our experiments and meet the needs of the public.
(Improvement)
3. Model your project
Convince the judges that your project's design and/or implementation is based on insight you have gained from modeling.
We’ve built Microbiota prediction model, Peptide prediction model, Growth model, and Productivity model. By these models, we can achieve precise and AI agriculture.
(Dry Lab)
4. Demonstrate your work
Convince the judges that your project works.
We’ve built Microbiota prediction model, Peptide prediction model, Growth model, and Productivity model. By these models, we can achieve precise and AI agriculture.
(Demonstration)
1. Validated Part / Validated Contribution
Convince the judges that something you created performs its intended function. Provide thorough documentation of this validation on your team wiki.
We have created a smart agriculture system that predicts an ideal amount of subtilis and other key bacteria for healthy soil and plant growth. Also, our feedback system can precisely predict how much bacteriocin is needed to produce an ideal balanced microbiota and bacteriocin performed as expect. Though NGS data analysis, we see whether our model and bacteriocin worked.
(Parts)
2. Collaboration
Convince the judges you have significantly worked with any other registered iGEM team in a meaningful way.
We have created a smart agriculture system that predicts an ideal amount of subtilis and other key bacteria for healthy soil and plant growth. Also, our feedback system can precisely predict how much bacteriocin is needed to produce an ideal balanced microbiota and bacteriocin performed as expect. Though NGS data analysis, we see whether our model and bacteriocin worked.
(Collaboration)
3. Human Practices
Convince the judges you have thought carefully and creatively about whether your work is safe, responsible and good for the world.
To fulfill the quality assurance of the project, we asked for many suggestions of professors, companies, and government agencies to build our project with the concern of safety, accuracy, logic, and the contribution to the world including the expansion of the iGEM competition.
(Human Practice)
1. Register and attend
Register for iGEM, have a great summer, and attend the Giant Jamboree.
2. Deliverables
Meet all deliverables on the Competition Deliverables page, except those that specifically mention parts.
3. Attribution
Create a page on your team wiki with clear attribution of each aspect of your project.
4. Characterization / Contribution
Document at least one new substantial contribution to the iGEM community that showcases a project related to BioBricks. This contribution should be central to your project and equivalent in difficulty to making and submitting a BioBrick part.
We have created a smart agriculture system that predicts an ideal amount of subtilis and other key bacteria for healthy soil and plant growth. Also, our feedback system can precisely predict how much bacteriocin is needed to produce an ideal balanced microbiota and bacteriocin performed as expect. Though NGS data analysis, we see whether our model and bacteriocin worked.
(InterLab)
