By monitoring soil and atmosphere condition, our models can use AI machine learning to maximize productivity. Thus, we constructed an IoT system with Arduino Yun and sensors on our experimental farm to monitor the conditions in time. Through the IoT system, we can improve our soil enhancing system to coincident with real condition. Besides, the current conditions will be shown on the user interface.
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position: absolute; | position: absolute; | ||
width: 16%; | width: 16%; | ||
− | left: | + | left: 19.5%; |
top: 39vw; | top: 39vw; | ||
transition-duration: 0.4s; | transition-duration: 0.4s; | ||
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position: absolute; | position: absolute; | ||
width: 18%; | width: 18%; | ||
− | left: | + | left: 37%; |
top: 39vw; | top: 39vw; | ||
transition-duration: 0.4s; | transition-duration: 0.4s; | ||
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.improvement{ | .improvement{ | ||
position: absolute; | position: absolute; | ||
− | width: | + | width: 21%; |
− | left: | + | left: 56.5%; |
top: 39vw; | top: 39vw; | ||
transition-duration: 0.4s; | transition-duration: 0.4s; | ||
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<a href="https://2018.igem.org/Team:NCTU_Formosa/Project/Hardware"><img src="https://static.igem.org/mediawiki/2018/0/09/T--NCTU_Formosa--hardware_button.png" class="hardware"></a> | <a href="https://2018.igem.org/Team:NCTU_Formosa/Project/Hardware"><img src="https://static.igem.org/mediawiki/2018/0/09/T--NCTU_Formosa--hardware_button.png" class="hardware"></a> | ||
<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> | <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> | ||
− | <a href="https://2018.igem.org/Team:NCTU_Formosa/ | + | <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> |
</div> | </div> | ||
<div class="sec1"> | <div class="sec1"> | ||
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<div class="text"> | <div class="text"> | ||
<p> | <p> | ||
− | By monitoring soil and atmosphere condition, | + | By monitoring soil and atmosphere condition, our models can use AI machine learning to maximize productivity. Thus, we constructed an IoT system with Arduino Yun and sensors on our experimental farm to monitor the conditions in time. Through the IoT system, we can improve our soil enhancing system to coincident with real condition. |
Besides, the current conditions will be shown on the user interface. | Besides, the current conditions will be shown on the user interface. | ||
</p> | </p> | ||
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<div class="title_3"> | <div class="title_3"> | ||
<p> | <p> | ||
− | 1. | + | 1. Construct our IoT system with Arduino Yun and sensors on the farm for instant supervisor.<br> |
− | 2. Arduino Yun receives the conditions and | + | 2. Arduino Yun receives the conditions and transmit to our cloud server through wi-fi.<br> |
3. Print out the current conditions to user interface with IoTtalk.<br> | 3. Print out the current conditions to user interface with IoTtalk.<br> | ||
− | <li class="condition">Monitoring conditions: Temperature, Humidity, Soil moisture, | + | <li class="condition">Monitoring conditions: Temperature, Humidity, Soil moisture, altitude, Atmosphere pressure, pH value, EC value.</li> |
</p> | </p> | ||
</div> | </div> |
Revision as of 22:48, 17 October 2018
Procedure
1. Construct our IoT system with Arduino Yun and sensors on the farm for instant supervisor.
2. Arduino Yun receives the conditions and transmit to our cloud server through wi-fi.
3. Print out the current conditions to user interface with IoTtalk.
System Design
References