Finding the correct identity of trees is the beginning o f any inventory and managementrnactivities as well as any sallies regarding the tree s pieces. Identification o f plant species inrnEthiopia is conducted only in the National Her barium . At present, t he cent re is no t supportedrnby inform action systems, which makes the identification process and dissemination o frninform action inefficient and difficult.rnThe need o f KB S for technical information transfer and efficacy in demonology ca n bernidentified by recognizing the problem s in using the current system for technical in formationrntransfer and by proving that KB S ca n help to overcome the problems addressed, and a rernfeasible to be developed . This study attempts to design proto type KB S for woody plan t speciesrnidentify fiction. As compared to existing w ay of identification on we co me lip with newrnknowledge/rules with minimum features theater is torso parable performance. By Inglis isrnsystem , users cant access to ex pert knowledge an dwell beagle to identify woody plantrnspecies like taxonomists d o/judge.rn Using taxonomy c KB S in different forest try researchrncenters, high-pa id taxonomy sets will reduce the costs o scientific research and w ill al low man yrnresearchers to conduce t the research more in depend intently ( thought going to the NationalrnHer barium for identify cat ion) .rnThis research h is conducted in a step-wise man ne r. Aft e r pro b le m se lection , know ledgernacquisition n process is conducted. In this process, a key inform ant interview is he ld withrnexperts ( two taxonomy sits and one reseal richer). I n addition to the key informant interview,rnmanual s and books lased in woody plant spec resident fiction are al so consulted. Thernknowledge ex traced for m the ex pert s' and relevant documents that use s to solve a problem isrnmodeled in hi e archival or laddering tech unique.rnBased on the final knowledge mode led in decks ion lade ring, domain knowledge isrnrepresented using p reduction rules in prolong to construct the know ledge base. The system isrndeveloped to load the know ledge base and starts to infer from the knowledge base based onrnthe users input! facts. The prolog built in backward in fringe chains is used for thernidentification of the species. The user interface is rnredesign in vb. net. Fin ally, the system isrntested and evaluated by the users. The res cults host at, the system identifies the woody plantrnspecies correctly and ca n be applicable in woody plant species e notification .rnKey words: knowledge bossed system, prolong , tree species identikit rebellion, knowledgernacquisition, knowledge modeling, and KBS evaluation.