of AgPest i.e., Run time, Mean value of rules, facts, and
rules fired per second for each disease during its interaction
with user. These results shows that this expert system is not
only gives accurate results but it has a quick response time.
In this paper explanation block is implemented for each
module independently. It is very useful in real time to get
better understanding about a particular decision taken by the
AgPest. The logic used to develop Explanation block for
AgPest can be used for any other rule-based expert system
developed using CLIPS. AgPest can be used as a basic
prototype to build expert systems for pest management. Its
possible to build a distributed AgPest, where different crops
pest managment information can be maintained by isoloted
servers located at different locations in the world. During the
computation time according to the location of a particular
crop those servers located in that area can be queried. AgPest
can be parallelized using for quick response time.