Application of Knowledge Based System for Woody Plant Species Identification
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Date
2009-04
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Addis Ababa University
Abstract
Finding the correct identity of trees is the beginning o f any inventory and management
activities as well as any sallies regarding the tree s pieces. Identification o f plant species in
Ethiopia is conducted only in the National Her barium . At present, t he cent re is no t supported
by inform action systems, which makes the identification process and dissemination o f
inform action inefficient and difficult.
The need o f KB S for technical information transfer and efficacy in demonology ca n be
identified by recognizing the problem s in using the current system for technical in formation
transfer and by proving that KB S ca n help to overcome the problems addressed, and a re
feasible to be developed . This study attempts to design proto type KB S for woody plan t species
identify fiction. As compared to existing w ay of identification on we co me lip with new
knowledge/rules with minimum features theater is torso parable performance. By Inglis is
system , users cant access to ex pert knowledge an dwell beagle to identify woody plant
species like taxonomists d o/judge.
Using taxonomy c KB S in different forest try research
centers, high-pa id taxonomy sets will reduce the costs o scientific research and w ill al low man y
researchers to conduce t the research more in depend intently ( thought going to the National
Her barium for identify cat ion) .
This research h is conducted in a step-wise man ne r. Aft e r pro b le m se lection , know ledge
acquisition n process is conducted. In this process, a key inform ant interview is he ld with
experts ( two taxonomy sits and one reseal richer). I n addition to the key informant interview,
manual s and books lased in woody plant spec resident fiction are al so consulted. The
knowledge ex traced for m the ex pert s' and relevant documents that use s to solve a problem is
modeled in hi e archival or laddering tech unique.
Based on the final knowledge mode led in decks ion lade ring, domain knowledge is
represented using p reduction rules in prolong to construct the know ledge base. The system is
developed to load the know ledge base and starts to infer from the knowledge base based on
the users input! facts. The prolog built in backward in fringe chains is used for the
identification of the species. The user interface is
redesign in vb. net. Fin ally, the system is
tested and evaluated by the users. The res cults host at, the system identifies the woody plant
species correctly and ca n be applicable in woody plant species e notification .
Key words: knowledge bossed system, prolong , tree species identikit rebellion, knowledge
acquisition, knowledge modeling, and KBS evaluation.
Description
Keywords
knowledge bosed syslem, prolog, Iree species idel/lijicellion, knowledge, acquisition, knowledge modeling, KBS evaluation