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- W2804613990 startingPage "012014" @default.
- W2804613990 abstract "Manually counting for vaname shrimp fry has some weaknesses, such as subjectivity in counting, time payload, exhausted in counting and inadequate accuracy especially in calculate large quantities of shrimp fry. Considering that condition, therefore a fast and good accuracy method in shrimp fry counting is needed. The purposes of this study are to develop a method in vaname shrimp fry counting through image processing by using, also determine the value of parameters which is needed in creating a machine to count shrimp fry automatically based on CCD camera. Images taken using CCD camera with backlight system. Image processing processes are consist of image cutting, thresholding, dilation and labelling. Accuracy value of shrimp fry counting using image processing program is 98.49%. The average time of shrimp fry counting using image processing program is 1.70 second/image with standard deviation is 0.15 seconds." @default.
- W2804613990 created "2018-06-01" @default.
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- W2804613990 date "2018-05-01" @default.
- W2804613990 modified "2023-09-23" @default.
- W2804613990 title "Vaname (<i>Litopenaeus vannamei</i>) Shrimp Fry Counting Based on Image Processing Method" @default.
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- W2804613990 doi "https://doi.org/10.1088/1755-1315/147/1/012014" @default.
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