Fully automated smart wireless frost prediction and protection system using a fuzzy logic controller

  • Authors:

  • Shadi A. Alboon;Amin T. Alqudah;Hussein R. Al-Zoubi;Abedalgany A. Athamneh

  • Affiliations:

  • Department of Electronics Engineering, Hijjawi Faculty for Engineering Technology, Yarmouk University, Irbid 21163, Jordan;Department of Computer Engineering, Hijjawi Faculty for Engineering Technology, Yarmouk University, Irbid 21163, Jordan;Department of Computer Engineering, Hijjawi Faculty for Engineering Technology, Yarmouk University, Irbid 21163, Jordan;Department of Electrical Power Engineering, Hijjawi Faculty for Engineering Technology, Yarmouk University, Irbid 21163, Jordan

  • Venue:
  • International Journal of Artificial Intelligence and Soft Computing
  • Year:
  • 2012

Quantified Score

Hi-index 0.00

Visualization

Abstract

A smart fuzzy logic controller system is presented to protect the crops from frost damage that occurs every year. The system is a fully automated system to predict the frost and to protect the crops using wireless sensor network technology. The sensors are used to collect crops data and transmit these data to the fuzzy controller. After that, the fuzzy controller will decide the proper action to be taken in order to protect the crops. The frost protection mechanism used here is a solid fuel burner that generates an artificial smoke cloud. The conducted simulations have shown that the system can successfully handle the frost problem at critical weather situations. This is achieved by keeping the ground surface temperature above the freezing temperature, and therefore saving the crops from being injured. In order to reduce the system energy consumption requirements, different approaches are presented during the simulation process.