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<p class="title">Detector Design</p> | <p class="title">Detector Design</p> | ||
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− | <p class="content">First, inside the detector | + | <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> |
<p class="content">Our detector contains several parts. The main part is to catch different kinds of pests and calculate the number of various pests, and a double layered box with an inverted pyramid inside it, and we used a 3D printer to make the entry channels. Inside the inverted pyramid, we separate the volume into four parts. Each part has one kind of PBAN to attract a specific species of pest. When an insect comes into the channel of the device, the infrared light will be cut off, and the signal will be sent to the Arduino chip which is in the IoT board linkit smart 7688 duo. The above process allows the device to count the bugs inside each channel. The function helps the users know the population growth of pests in the farmland. Apart from getting hold of the pest population in the farmland, the users can also grasp various conditions in farmland with the detector. The detector is equipped with a hygrometer, a thermometer, a rain gauge, a UV sensor, a CO2 sensor, a soil moisture sensor, an illuminance sensor and a barometric pressure sensor to know whether the land is too dry or not. We optimize the value of the data above into the database, hoping that the users can take good care of their plants by utilizing the information in the database in the future. Moreover, we will also record the weather condition as a reference for the users.</p> | <p class="content">Our detector contains several parts. The main part is to catch different kinds of pests and calculate the number of various pests, and a double layered box with an inverted pyramid inside it, and we used a 3D printer to make the entry channels. Inside the inverted pyramid, we separate the volume into four parts. Each part has one kind of PBAN to attract a specific species of pest. When an insect comes into the channel of the device, the infrared light will be cut off, and the signal will be sent to the Arduino chip which is in the IoT board linkit smart 7688 duo. The above process allows the device to count the bugs inside each channel. The function helps the users know the population growth of pests in the farmland. Apart from getting hold of the pest population in the farmland, the users can also grasp various conditions in farmland with the detector. The detector is equipped with a hygrometer, a thermometer, a rain gauge, a UV sensor, a CO2 sensor, a soil moisture sensor, an illuminance sensor and a barometric pressure sensor to know whether the land is too dry or not. We optimize the value of the data above into the database, hoping that the users can take good care of their plants by utilizing the information in the database in the future. Moreover, we will also record the weather condition as a reference for the users.</p> | ||
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+ | <img src="https://static.igem.org/mediawiki/2016/3/35/NCTU_detector.jpg" class="picture-1"> | ||
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<div > | <div > | ||
<img src="https://static.igem.org/mediawiki/2016/d/dc/NCTU_Controller_Design.png" class="picture"> | <img src="https://static.igem.org/mediawiki/2016/d/dc/NCTU_Controller_Design.png" class="picture"> | ||
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<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;"> | + | <p class="content-image" style="text-align:justify !important;"> Here is a picture of how iottalk 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 iottalk system and what value goes down.</p> |
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<img src="https://static.igem.org/mediawiki/2016/5/53/NCTU_APP3.png" class="picture" style="width:25%"> | <img src="https://static.igem.org/mediawiki/2016/5/53/NCTU_APP3.png" class="picture" style="width:25%"> | ||
<img src="https://static.igem.org/mediawiki/2016/0/02/NCTU_APP2.png" class="picture" style="width:25%"> | <img src="https://static.igem.org/mediawiki/2016/0/02/NCTU_APP2.png" class="picture" style="width:25%"> | ||
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Revision as of 12:56, 17 October 2016