论文部分内容阅读
为解决因植保人员短缺而使玉米病虫草害不能及时得到诊断与防治,导致玉米生产减产乃至绝产的问题,本研究基于不同发病部位的病症及虫害、草害的图像知识和文本知识,采用二叉树检索算法,设计开发了玉米病虫害诊断专家系统。实际应用结果表明:系统可实现对病虫草害图像、文本和图像推理规则等知识的管理及病虫草害智能推理诊断等功能;可实现对虫害草害实现指认式诊断、解释推理过程和推理结论。通过该系统推出的玉米病虫害诊断结论,农户可针对病虫草害种类及危害程度及时防治病虫害,减少玉米生产损失。
In order to solve the problem that maize pests, diseases and weeds can not be diagnosed and controlled promptly due to the shortage of plant protection workers, which led to the reduction of maize production and even the abortion. Based on the image and text knowledge of diseases and insect pests and grass damage in different parts of the disease, Binary tree search algorithm, design and development of a corn pest diagnosis expert system. The results of practical application show that the system can realize the management of pest, disease and insect pests image, rules of text and image reasoning, and intelligent diagnosis of pest, disease and insect pests. It can realize the diagnosis of pest damage, explain reasoning process and reasoning conclusion . Through the diagnosis of corn diseases and pests released by the system, farmers can timely control pests and diseases and reduce the loss of corn production according to the types of pests, diseases and pests and the degree of harm.