Abstract
Applying Internet-of-Things (IoT) technologies in agriculture not only can reduce the man efforts but also improve the productivity and the efficiency. Through the IoT technologies, one can collect various data like luminosity, temperature, humidity, PH value, etc to analyze and control the facilities. In this study, we focus on exploring the application of the infra-red data on agriculture IoT systems, in addition to the design of our green-house IoT system. Through the infra-red data, we can analyze various biological data of the plants and the fruits. Based on several low-cost devices (like Raspberry pi, NoIR camera, thermal camera, various sensors), some open source platforms, and the Splunk software, we design and build an green-house IoT system that not only collects various environment data but also analyze the biological data of plants via the infra-red data. Some preliminary experiments and analysis are given in this paper. The results show that low-cost infra-red devices could have a great potential contribution to improving agriculture practice.
| Original language | English |
|---|---|
| Title of host publication | 2018 9th International Conference on Awareness Science and Technology, iCAST 2018 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 241-245 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781538658260 |
| DOIs | |
| Publication status | Published - 2018 Oct 31 |
| Event | 9th International Conference on Awareness Science and Technology, iCAST 2018 - Fukuoka, Japan Duration: 2018 Sep 19 → 2018 Sep 21 |
Publication series
| Name | 2018 9th International Conference on Awareness Science and Technology, iCAST 2018 |
|---|
Other
| Other | 9th International Conference on Awareness Science and Technology, iCAST 2018 |
|---|---|
| Country | Japan |
| City | Fukuoka |
| Period | 18-09-19 → 18-09-21 |
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All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
- Human-Computer Interaction
- Information Systems and Management
- Experimental and Cognitive Psychology
- Social Psychology
- Communication
Cite this
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Some Study of Applying Infra-Red in Agriculture IoT. / Chien, Hung Yu; Tseng, Yuh-Min; Hung, Ruo Wei.
2018 9th International Conference on Awareness Science and Technology, iCAST 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 241-245 8517239 (2018 9th International Conference on Awareness Science and Technology, iCAST 2018).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Some Study of Applying Infra-Red in Agriculture IoT
AU - Chien, Hung Yu
AU - Tseng, Yuh-Min
AU - Hung, Ruo Wei
PY - 2018/10/31
Y1 - 2018/10/31
N2 - Applying Internet-of-Things (IoT) technologies in agriculture not only can reduce the man efforts but also improve the productivity and the efficiency. Through the IoT technologies, one can collect various data like luminosity, temperature, humidity, PH value, etc to analyze and control the facilities. In this study, we focus on exploring the application of the infra-red data on agriculture IoT systems, in addition to the design of our green-house IoT system. Through the infra-red data, we can analyze various biological data of the plants and the fruits. Based on several low-cost devices (like Raspberry pi, NoIR camera, thermal camera, various sensors), some open source platforms, and the Splunk software, we design and build an green-house IoT system that not only collects various environment data but also analyze the biological data of plants via the infra-red data. Some preliminary experiments and analysis are given in this paper. The results show that low-cost infra-red devices could have a great potential contribution to improving agriculture practice.
AB - Applying Internet-of-Things (IoT) technologies in agriculture not only can reduce the man efforts but also improve the productivity and the efficiency. Through the IoT technologies, one can collect various data like luminosity, temperature, humidity, PH value, etc to analyze and control the facilities. In this study, we focus on exploring the application of the infra-red data on agriculture IoT systems, in addition to the design of our green-house IoT system. Through the infra-red data, we can analyze various biological data of the plants and the fruits. Based on several low-cost devices (like Raspberry pi, NoIR camera, thermal camera, various sensors), some open source platforms, and the Splunk software, we design and build an green-house IoT system that not only collects various environment data but also analyze the biological data of plants via the infra-red data. Some preliminary experiments and analysis are given in this paper. The results show that low-cost infra-red devices could have a great potential contribution to improving agriculture practice.
UR - http://www.scopus.com/inward/record.url?scp=85057402794&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85057402794&partnerID=8YFLogxK
U2 - 10.1109/ICAwST.2018.8517239
DO - 10.1109/ICAwST.2018.8517239
M3 - Conference contribution
AN - SCOPUS:85057402794
T3 - 2018 9th International Conference on Awareness Science and Technology, iCAST 2018
SP - 241
EP - 245
BT - 2018 9th International Conference on Awareness Science and Technology, iCAST 2018
PB - Institute of Electrical and Electronics Engineers Inc.
ER -