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Image Clustering Technique in Oil Palm Fresh Fruit Bunch (FFB)Growth Modeling

机译:油棕新鲜水果束(FFB)生长建模的图像聚类技术

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Digital images of FFB from anthesis to harvesting stage were acquired and grouped into 25 maturity stages. K-means clustering technique was used to separate the images into three colours clusters that represent three FFB features, Fruitlet, Brown spine and Green spine. The relationship of Hue colour component and FFB maturity stages was established. The FFB was found to grow in three major stages, from week 0 to 5, week 6 to 14 and week 15 to 24. From the relationship a Growth Model was developed andwas validated with actual maturity stage. The coefficient of determination, R~2 was 0.95.
机译:获得了从波孔到收获阶段的FFB的数字图像,并分为25个成熟阶段。 K-means聚类技术用于将图像分为三种颜色集群,代表三种FFB特征,水果,棕色脊柱和绿色脊柱。建立了色调颜色分量和FFB成熟级的关系。 FFB被发现在三个主要阶段中生长,从第0周,第6周,第6周至第14周和第15周至第24周。从关系开始,通过实际成熟阶段验证了生长模式。测定系数R〜2为0.95。

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