Knowledge based real time monitoring system for aquaculture using IoT
Raju, K.R.S.R.; Varma, G.H.K. (2017). Knowledge based real time monitoring system for aquaculture using IoT, in: Sai, Y.P. et al. 2017 IEEE 7th International Advance Computing Conference (IACC) Proceedings, 5-7 January 2017, Hyderabad, Telengana, India. pp. 318-321. https://hdl.handle.net/10.1109/iacc.2017.0075
In: Sai, Y.P.; Garg, D. (Ed.) (2017). 2017 IEEE 7th International Advance Computing Conference (IACC) Proceedings, 5-7 January 2017, Hyderabad, Telengana, India. Institute of Electrical and Electronics Engineers (IEEE): Piscataway. ISBN 978-1-5090-1560-3. xxxiv, 954 pp., meer
|
| Beschikbaar in | Auteurs |
|
Documenttype: Congresbijdrage
|
| Author keywords |
pH, Ammonia, Dissolved Oxygen (DO)), Temperature, Nitrates, Salt, Carbonates, Bi-Carbonates, Raspberry-Pi, Sensors, Internet of Things (IoT), Wi-Fi Module. |
| Auteurs | | Top |
- Raju, K.R.S.R.
- Varma, G.H.K.
|
|
|
| Abstract |
Internet of things is one of the rapidly growing fields for delivering social and economic benefits for emerging and developing economy. The field of IOT is expanding its wings in all the domains like medical, industrial, transportation, education, mining etc. Now-a-days with the advancement in integrated on chip computers like Arduino, Raspberry pi the technology is reaching the ground level with its application in agriculture and aquaculture. Water quality is a critical factor while culturing aquatic organisms. It mainly depends on several parameters like dissolved oxygen, ammonia, pH, temperature, salt, nitrates, carbonates etc. The quality of water is monitored continuously with the help of sensors to ensure growth and survival of aquatic life. The sensed data is transferred to the aqua farmer mobile through cloud. As a result preventive measures can be taken in time to minimize the losses and increase the productivity. |
|
