Application of Artificial Intelligence In The Detection Of Plant Diseases (Clubroot)

Mochammad Iswan, Mhd Gilang Suryanata, Deski Helsa Pane, Khairi Ibnutama, Rian Farta Wijaya
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Abstract

Indonesia is a tropical country with diverse flora and fauna stretching from west to east. One of the cabbage plants grown in Indonesia has many benefits for human health. Cabbage plants are susceptible to diseases such as pests and pathogens. One of them is clubroot disease, which causes the plant not to grow and develop. Based on the above problems, it is necessary to have a system to support farmers in the scientific field of expert systems that uses the Certainty Factor method to diagnose the nature of clubroot disease. It is hoped that this system can provide information more quickly on whether or not cabbage plants have clubroot disease. The results of this study represent an integrated system capable of solving problems in cabbage plants, especially in the diagnosis of clubroot disease. It is hoped that the applied system can be further developed together with technological developments
人工智能在植物病害检测中的应用(Clubroot)
印度尼西亚是一个热带国家,从西到东有各种各样的动植物。印度尼西亚种植的一种卷心菜对人体健康有很多好处。白菜容易受到病虫害和病原体等疾病的影响。其中之一是根茎病,它会导致植物不能生长和发育。基于上述问题,有必要在科学领域建立一个支持农民的专家系统,利用确定性因子法诊断棍棒病的性质。希望该系统能更快速地提供白菜是否有根茎病的信息。本研究的结果代表了一个能够解决卷心菜植物问题的综合系统,特别是在诊断甘蓝病方面。希望应用系统能随着技术的发展而进一步发展
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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