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.
Difference between revisions of "Team:NCTU Formosa/Hardware"
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<img src="https://static.igem.org/mediawiki/2018/0/01/T--NCTU_Formosa--Arduino.png" class="Arduino"> | <img src="https://static.igem.org/mediawiki/2018/0/01/T--NCTU_Formosa--Arduino.png" class="Arduino"> | ||
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<img src="https://static.igem.org/mediawiki/2018/7/76/T--NCTU_Formosa--IOT_SYSTEM_1017.png" class="Bella"> | <img src="https://static.igem.org/mediawiki/2018/7/76/T--NCTU_Formosa--IOT_SYSTEM_1017.png" class="Bella"> | ||
<img src="https://static.igem.org/mediawiki/2018/1/17/T--NCTU_Formosa--pHsensor1017.png" class="Bella"> | <img src="https://static.igem.org/mediawiki/2018/1/17/T--NCTU_Formosa--pHsensor1017.png" class="Bella"> | ||
Revision as of 02:49, 18 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
1. Lin, Y., et al. (2017). "IoTtalk: A Management Platform for Reconfigurable Sensor Devices." IEEE Internet of Things Journal 4(5): 1552-1562.
