(21 intermediate revisions by 5 users not shown) | |||
Line 85: | Line 85: | ||
width: auto; | width: auto; | ||
z-index: 9999; | z-index: 9999; | ||
− | top: | + | top:11%; |
margin: auto; | margin: auto; | ||
} | } | ||
Line 110: | Line 110: | ||
.line .red { | .line .red { | ||
width:1px; /*調line長度*/ | width:1px; /*調line長度*/ | ||
− | height: | + | height:52%; /*line寬度*/ |
position:relative; | position:relative; | ||
Line 516: | Line 516: | ||
− | <p class="content">First, inside the detector, we utilize Pheromone Biosynthesis Activation Neuropeptide (PBAN) to attract specific species of pests into our device that will count the number of the species respectively. With the detector, we can know the situation remotely in the app we created. Second, the controller will then analyze the data from the detector to decide whether to spray the | + | <p class="content">First, inside the detector, we utilize Pheromone Biosynthesis Activation Neuropeptide (PBAN) to attract specific species of pests into our device that will count the number of the species respectively. With the detector, we can know the situation remotely in the app we created. Second, the controller will then analyze the data from the detector to decide whether to spray the Pantide or not. Lastly, the client will receive the data of the real-time condition in the farmland.</p> |
Line 545: | Line 545: | ||
<div class="box"> | <div class="box"> | ||
<img src="https://static.igem.org/mediawiki/2016/8/82/NCTU_IoT.jpg" class="picture"> | <img src="https://static.igem.org/mediawiki/2016/8/82/NCTU_IoT.jpg" class="picture"> | ||
− | <p class="content-image" style="text-align:justify !important;"> Here is a picture of how | + | <p class="content-image" style="text-align:justify !important;"> Here is a picture of how IoT talk system looks like, at left hand side is where the device upload the data to, and then through the line and node in the middle, we can easy connect the data to everywhere we want, then at the right hand side is where the data goes, after being processed in the node. We can use it control some other device or send to the client to show the data. The windows on the right is the monitor so that we can know what data being upload to the IoT talk system and what value goes down.</p> |
</div> | </div> | ||
Line 552: | Line 552: | ||
<div> | <div> | ||
<p class="title" id="titleD">Clientele Design</p> | <p class="title" id="titleD">Clientele Design</p> | ||
− | <p class="content">As for the clientele, we use | + | <p class="content">As for the clientele, we use MediaTek Cloud Sandbox, an app released by MediaTek. Inside the app, we will have a panel to show us the various conditions of farm. By using the app, we can turn on or turn off the sprinklers at any time and anywhere as long as we have access to the internet.</p> |
<div> | <div> | ||
Line 587: | Line 587: | ||
<br> According to the result of 2014 NCTU_Formosa, blue light has more attraction to Spodoptera Litura than other color light. Thus we use the hand-made blue light bar with a switch in another device to attraction moths.</li> | <br> According to the result of 2014 NCTU_Formosa, blue light has more attraction to Spodoptera Litura than other color light. Thus we use the hand-made blue light bar with a switch in another device to attraction moths.</li> | ||
<div> | <div> | ||
− | <img src="https://static.igem.org/mediawiki/2016/1/19/NCTU_LED1.jpg" class="picture" style="width:30%;margin-left: | + | <img src="https://static.igem.org/mediawiki/2016/1/19/NCTU_LED1.jpg" class="picture" style="width:30%;margin-left:8vw;"> |
− | + | ||
</div> | </div> | ||
<li class="list">PBAN container: | <li class="list">PBAN container: | ||
Line 607: | Line 607: | ||
<br> The barrier is put between the PBAN container and circuit in the pest trap, the main function of it is to protect the circuit from destroying by pest in the trap.</li> | <br> The barrier is put between the PBAN container and circuit in the pest trap, the main function of it is to protect the circuit from destroying by pest in the trap.</li> | ||
<div> | <div> | ||
− | + | <img src="https://static.igem.org/mediawiki/2016/c/c4/NCTU_MB.gif" class="picture" style="width:30%;margin-left:9.5vw;"> | |
− | <img src="https://static.igem.org/mediawiki/2016/c/c4/NCTU_MB.gif" class="picture" style="width:30%"> | + | |
</div> | </div> | ||
Line 625: | Line 624: | ||
</ul> | </ul> | ||
</div> | </div> | ||
+ | |||
+ | |||
+ | |||
+ | <div style="width:1px;height:60px;"id="IoT"> | ||
+ | </div> | ||
<div> | <div> | ||
<p class="title" id="titleF">IoT System</p> | <p class="title" id="titleF">IoT System</p> | ||
<div> | <div> | ||
− | <img src="https://static.igem.org/mediawiki/2016/d/ | + | <img src="https://static.igem.org/mediawiki/2016/d/d1/NCTU_IoTsys_device2.png" class="picture"> |
</div> | </div> | ||
− | <p class="content">We want to create a labor-free, ecofriendly brand new agriculture system to solve the problem of pesticide residues and the randomness of agriculture, to reach labor-free, we use | + | <p class="content">We want to create a labor-free, ecofriendly brand new agriculture system to solve the problem of pesticide residues and the randomness of agriculture, to reach labor-free, we use IoTtalk, a powerful system, and Arduino to establish a smart agriculture system.</p> |
− | <p class="content">In the system, we let our device connect to the WIFI, through WIFI, we can uploading our data from Arduino sensors, and the data will upload to the IoT talk cloud.When the data upload onto the cloud, it will sent into the app in real time; thus the user can know the conditions in their farm simultaneously. The cloud will create a database of farm environmental data, as the time goes, the farm conditions will become | + | <p class="content">In the system, we let our device connect to the WIFI, through WIFI, we can uploading our data from Arduino sensors, and the data will upload to the IoT talk cloud.When the data upload onto the cloud, it will sent into the app in real time; thus the user can know the conditions in their farm simultaneously. The cloud will create a database of farm environmental data, as the time goes, the farm conditions will become large enough, and according to it, we can use some methods like machine learning to predict the future conditions like pest number, and auto-control the spraying system to spray our Pantide or water more efficiently and accurately.(See more about the <a href="https://2016.igem.org/Team:NCTU_Formosa/Model#titleB" style="color:#44E287;">Pest Prediction System</a>)</p> |
</div> | </div> | ||
Line 640: | Line 644: | ||
<div> | <div> | ||
<video controls width="150%"> | <video controls width="150%"> | ||
− | <source src="https://static.igem.org/mediawiki/2016/ | + | <source src="https://static.igem.org/mediawiki/2016/0/08/NCTU_meow_devicedemo9.mp4" type="video/mp4"> |
</video> | </video> | ||
+ | <p class="content-image" style="text-align:center !important;padding-left:0px !important;">See the device Arduino code on <a href="https://github.com/chengchingwen/iGEM" style="color:#44E287;text-align:center !important;">GitHub.</a></p> | ||
</div> | </div> | ||
</div> | </div> |
Latest revision as of 02:58, 4 November 2016