利用人工智能对肉豆蔻成熟度进行分类

Imam Bil Qisthi, Hartono Siswono
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摘要

肉豆蔻种子如果成熟度最佳,换句话说,含水量低,就能生产出大量油脂。根据我在苏卡布米一家炼油厂的观察,农民不注意肉豆蔻种子干燥后的成熟度,这可能会导致肉豆蔻种子质量和产油质量下降。本研究旨在让肉豆蔻种植者更容易对肉豆蔻种子的成熟度进行分类。这项研究使用了卷积神经网络(CNN)方法来帮助解决分类问题,并使用了几种图像处理方法。该程序将通过安卓应用程序运行。CNN 模型的训练准确率为 97.92%。因此,可以得出结论,利用人工智能对肉豆蔻种子的成熟度进行分类的模型设计和测试,以及将该模型实施到安卓应用程序中的工作已经成功完成。
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Classification of nutmeg ripeness using artificial intelligence
Nutmeg seeds can produce a lot of oil if they have optimal maturity, in other words, they have little moisture content. Based on observations I made at one of the refineries in Sukabumi, farmers do not pay attention to the maturity level of nutmeg seeds after drying which can cause a decrease in the quality of nutmeg seeds and the quality of the oil produced. This study aims to make it easier for nutmeg farmers to classify the maturity of nutmeg seeds. This study used the Convolutional Neural Network (CNN) method to help with classification problems and several image processing methods. This program will be run through an android application. The results of CNN model training accuracy are 97.92%. Thus, it can be concluded that the design and testing of a model to classify the maturity level of nutmeg seeds using artificial intelligence and the implementation of the model into an android application has been successfully carried out.
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