Fully automated smart wireless frost prediction and protection system using a fuzzy logic controller Online publication date: Sat, 29-Nov-2014
by Shadi A. Alboon; Amin T. Alqudah; Hussein R. Al-Zoubi; Abedalgany A. Athamneh
International Journal of Artificial Intelligence and Soft Computing (IJAISC), Vol. 3, No. 2, 2012
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.
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