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首页> 外文期刊>International Journal of Scientific & Technology Research >Differentiation Among Lettuce (L. Sativa) Seed Varieties Grown In Gourmet Farms, Silang Cavite, Philippines Using Image Processing With Fuzzy Logic And Knn As Classifiers
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Differentiation Among Lettuce (L. Sativa) Seed Varieties Grown In Gourmet Farms, Silang Cavite, Philippines Using Image Processing With Fuzzy Logic And Knn As Classifiers

机译:使用模糊逻辑和Knn作为分类器的菲律宾Silang Cavite美食家农场生菜(L. Sativa)种子品种的区分

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摘要

Lettuce is one of the most widely used vegetable crops in our diet. We consume lettuce as a base for salads, on sandwiches and burgers to add texture and even as a garnish to decorate trays of food at parties. The crop comprises seven main groups of cultivars differing phenotypically. The difference between lettuce varieties is often determined by inspection of the leaves, which is time-consuming, subjective and prone to error. In this study, three lettuce cultivars: Cos or Romaine, Iceberg, and Latin lettuce are classified using its seeds by image processing. Using Fuzzy Logic and KNN as classifiers, the cultivars are differentiated according to three morphological features: area, perimeter and equivalent diameter from 216 training images and 72 testing images. The study is supposed to be beneficial to lettuce breeders and farmers as it provides a new way to classify lettuce by its seeds. Understanding the different classes of seeds has great significance as it helps in choosing the right seeds for farming.
机译:生菜是我们饮食中使用最广泛的蔬菜作物之一。我们将生菜用作沙拉的基础,在三明治和汉堡上食用以增加质地,甚至在宴会上用作装饰食物的装饰。该作物包括七个主要表型不同的品种。生菜品种之间的差异通常是通过检查叶子来确定的,这既耗时,主观又容易出错。在这项研究中,通过图像处理,使用种子将生菜三个品种:Cos或Romaine,Iceberg和Latin生菜分类。使用模糊逻辑和KNN作为分类器,根据216个训练图像和72个测试图像的三个形态特征,将其区分为面积,周长和等效直径。该研究被认为对生菜育种者和农民有益,因为它提供了一种通过种子对生菜进行分类的新方法。了解不同类别的种子具有重要意义,因为它有助于选择合适的农作物种子。

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