  This project proposes a sensor-based visual agricultural monitoring system.
Distinguished from traditional agricultural monitoring systems, this system
further analyzes basic agricultural data and prevents and monitors common
wireless network attacks such as Selective Forwarding, Black Hole Attacks,
Sinkhole Attacks, Flooding Attacks and Misdirection Attacks. Experimental
verification and evaluation of the attack prevention and monitoring are also
conducted.
