CAJ | 학술논문

　　由于农业数据具有丰富、多维、动态、不完整、不确定等特点，需要一种方法能够从结构化和半结构化的大量数据中找出隐藏的规律，根据规律制订正确的策略，从而指导农业生产，促进作物的优质、高产。贝叶斯网络具有对不确定知识表示形式简洁、双向推理能力等特点，是一种基于模型的处理不确定性知识的概率方法。本文采用了基于专家知识的方法，重点研究了贝叶斯网络建模技术在玉米病虫害中的应用。
　　유우농업수거구유봉부、다유、동태、불완정、불학정등특점，수요일충방법능구종결구화화반결구화적대량수거중조출은장적규률，근거규률제정정학적책략，종이지도농업생산，촉진작물적우질、고산。패협사망락구유대불학정지식표시형식간길、쌍향추리능력등특점，시일충기우모형적처리불학정성지식적개솔방법。본문채용료기우전가지식적방법，중점연구료패협사망락건모기술재옥미병충해중적응용。
Because agriculture data with rich, multidimensional, dynamic, incomplete, uncertain characteristics, so need a way to find hiding rule from structured and semi-structured data. According to the law, so as to guide agricultural production, promote crop quality, high-yield. Bayesian network has the uncertain knowledge representation form concise, two-way reasoning ability, and other features, is a model based dealing with uncertain knowledge of probability method. This paper adopted the method of based on expert knowledge, focus on the bayesian network modeling technology in the application of corn plant diseases and insect pests.