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Knowledge based system for weed seed identification

机译：基于知识的杂草种子识别系统

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The term 'weed' always has a negative connotation not only by its presence as a plant but as a seed also. The movement of most of the weeds from one location to the other is mainly through their seeds. Correct identification of weed seeds is thereforenecessary for strict quarantine to check the spread of weed seeds from one place to another. Accurate identification of weed seeds requires skill and good judgment on the part of the examiner and it is a difficult task for a layman. Therefore, availability of a state of art technology for identification of weed seeds is very much needed. For identification of weed seeds, a Knowledge Based System (KBS) contains information about 120 weed seeds with 11 parameters each has been developed at the Directorate of Weed Research, Jabalpur (India) using Visual Basic. Net as front-end application and MS Access as back-end application with user-friendly menus. In this study, a rule based system for identification of weed seeds was developed that helps the stakeholder in identifying the weed seeds.
机译：“杂草”一词不仅具有作为植物的存在，而且也作为种子的存在，始终具有负面含义。大多数杂草从一个位置移动到另一个位置的主要途径是它们的种子。因此，有必要对杂草种子进行正确识别，以进行严格隔离，以检查杂草种子从一个地方到另一个地方的扩散。杂草种子的准确识别需要检查员的技能和良好的判断力，对于外行而言，这是一项艰巨的任务。因此，非常需要用于鉴定杂草种子的最新技术。为了识别杂草种子，一个基于知识的系统（KBS）包含有关120种杂草种子的信息，每个杂草种子都有11个参数，这是由Jabalpur（印度）的杂草研究局使用Visual Basic开发的。带有用户友好菜单的Net作为前端应用程序，MS Access作为后端应用程序。在这项研究中，开发了基于规则的杂草种子识别系统，可帮助利益相关者识别杂草种子。

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