Title :
Intelligence irrigation system employing the use of solar PV
Author :
Diyana Rosli, Anis ; Damanhuri, N.S. ; Ismail, Nur ; Hamid, Sherin Abdel ; Zulhanip, Aida Zulia ; Ismail, Nur ; Leh, N.A.M.
Author_Institution :
Fac. of Electr. Eng., Univ. Teknol. MARA, Pulau, Malaysia
Abstract :
Inefficient water usage during irrigation scheduling is a common crisis in agricultural sector. This crisis mostly occurs in time-controlled irrigation systems where timer will still turn on the sprinkler even on raining day. This research is proposed to overcome the mentioned crisis where the sprinkler is controlled by soil moisture sensor. In addition, this intelligence irrigation system also incorporated solar Photovoltaic (PV) and Laboratory Virtual Instrumentation Engineering Workbench (LabVIEW) software. Consequently, the system can operate independently and the performance of the irrigation system can be monitored remotely.
Keywords :
irrigation; photovoltaic power systems; scheduling; solar power stations; virtual instrumentation; LabVIEW software; agricultural sector; intelligence irrigation system; irrigation scheduling; laboratory virtual instrumentation engineering workbench software; soil moisture sensor; solar PV system; solar photovoltaic system; time-controlled irrigation systems; LabVIEW; irrigation system; soil moisture sensor; solar PV;
Conference_Titel :
Control System, Computing and Engineering (ICCSCE), 2012 IEEE International Conference on
Conference_Location :
Penang
Print_ISBN :
978-1-4673-3142-5
DOI :
10.1109/ICCSCE.2012.6487189
