ABSTRACT
The precision agriculture concept has drawn much attention from farmers and researchers all over the world [1,2]. A complete precision agriculture system can be described in terms of four indispensable parts. They are (1) œeld variability sensing and information extraction, (2) decision making, (3) precision œeld control, and (4) operation and result assessment. The success of any precision agriculture system depends on the correct implementation of these four parts. Among the four parts, the decision making is the central component [3]. The decision making process involves making the right management decisions based on the variability information derived from data collected in the crop œeld.
