Designing an Application for Detecting Diseases of Rice Plants Using OOAD Method

Wijdan Khalil, Muhammad Irsan, Muhammad Faris Fathoni
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Abstract

Rice, as a key element of Indonesia's food security, plays a crucial role in agricultural ecosystems. Despite its high economic value, rice plants are susceptible to various diseases that can reduce productivity and harvest quality. Farmer's limited knowledge about disease types, identification, and proper handling poses a serious challenge to sustainable agriculture. Previous studies highlight farmers' inadequate understanding of pests and diseases in rice plants, leading to a high dependency on pesticides. Furthermore, lack of training data and a shallow understanding of rice diseases present significant challenges in disease management efforts. This research aims to develop an Android-based Smart Farm application. This application utilizes image processing and artificial intelligence technologies to assist farmers in identifying leaf diseases in rice plants. Requirements analysis involves literature review and field observations around Bandung Regency. It can be concluded; Smart Farm application has been successfully developed with three functional and two non-functional requirements. Validation testing indicates a 100% functionality rate and an 80% accuracy in disease detection. Nevertheless, further attention is required to enhance accuracy by providing more training data and improving image quality. The implications of this research extend to enhancing farmers' knowledge, reducing pesticide dependency, and supporting sustainable agriculture in the future.
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利用 OOAD 方法设计一款检测水稻病害的应用程序
水稻是印度尼西亚粮食安全的关键要素,在农业生态系统中发挥着至关重要的作用。尽管水稻具有很高的经济价值,但其植株很容易受到各种病害的侵袭,从而降低产量和收成质量。农民对病害类型、识别和正确处理的知识有限,这对可持续农业构成了严峻挑战。以往的研究表明,农民对水稻病虫害的认识不足,导致对农药的高度依赖。此外,缺乏培训数据和对水稻病害的肤浅认识也给病害管理工作带来了巨大挑战。本研究旨在开发基于安卓系统的智能农场应用程序。该应用程序利用图像处理和人工智能技术,帮助农民识别水稻植株叶片病害。需求分析包括文献综述和万隆地区的实地观察。最后得出结论:智能农场应用程序已成功开发,满足了三个功能性需求和两个非功能性需求。验证测试表明,功能实现率为 100%,病害检测准确率为 80%。不过,还需要进一步关注,通过提供更多的训练数据和提高图像质量来提高准确率。这项研究的意义在于提高农民的知识水平,减少对农药的依赖,支持未来的可持续农业。
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发文量
204
审稿时长
4 weeks
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