Published February 6, 2020 | Version v1

IoT Based Smart Pisciculture Monitoring and Prediction System in Bangladesh

Authors/Creators

  • 1. Department of Computer Science and Engineering, World University of Bangladesh, Dhaka, Bangladesh

Description

Nowadays IoT is a breakthrough innovation where the object is able to present itself digitally. It is constantly bringing a new dimension of automation to various field which is modernized every things. IoT is also making an outstanding contribution to agriculture such as crop monitoring, soil management etc. Consequently, authors have proposed a smart pisciculture monitoring and prediction system based on IoT. The project has specially focused on determining the quality of the water. In the system, authors have used three sensors where pH and temperature sensor to determine pH and temperature value of water respectively. It’s also used water level sensor to detect water level. The proposed system predicts the names of suitable fish based on quality water and display all information through mobile application.

Files

IoT Based Smart Pisciculture Monitoring -HBRP Publication.pdf

Files (766.6 kB)

Name Size
md5:f298e8a9a662fc2fa3b118cfd0802720
766.6 kB Preview Download

Additional details

References

  • Ashwini Daund, Rutuja Borade and Moksha Chopda (2018) Hi-Tech Farm Pond Monitoring and Management. Sandip Institute of Engineering and Management, Nashik
  • https://www.ijraset.com› fileserve
  • ETP Annual Report (2014) on Agriculture, The Ministry of Agriculture and Agro-Based Industry,Downloaded on 21 Feb 2017.
  • http://etp.pemandu.gov.my/annualrepo rt2014/upload/13_NKEA11_ENG_Agriculture.pdf
  • Harun, Z., Khamis, N. K., Isa, M. D., Mohamed, Z. and Hashim, H. (2013).The roles of professional engineers at the institutions of higher learning in nation-building, International Education Studies.2014.6(6): 137p.
  • Joy N. Carpio and Alexa Ray Fernando (2014) A Cost-effective Fish Pond Monitoring and Warning System Using Thermal Probe
  • http://ijssst.info/Vol-19/No- 3/paper14.pdf
  • Somerville, C., Cohen, M., Pantanella, E., Stankus, A. & Lovatelli, A. (2014).Small-scale aquaponic food production. Integrated fish and plant farming. FAO Fisheries and Aquaculture Technical Paper No. 589. Rome, FAO.
  • Suresh Babu Chandanapalli, Sreenivasa Reddy E and Rajya Lakshmi D (2014) Design and Deployment of Aqua Monitoring System Using Wireless Sensor Networks and IAR-Kick
  • https://www.longdom.org/openaccess/ design-and-deployment-ofaqua- monitoring-system-usingwireless- sensor-networks-and-iarkick- 2155-9546-5-283.pdf

Subjects

Computer Science Engineering
http://hbrppublication.com/journals.html