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.