Abstract

Chicken egg products increased by 60% worldwide resulting in the farmers or traders egg industry. The double yolk (DY) eggs are priced higher than single yolk (SY) eggs around 35% at the same size. Although, separating DY from SY will increase more revenue but it has to be replaced at the higher cost from skilled labor for sorting. Normally, the separation of double yolk eggs required the expertise person by weigh and shape of egg but it is still high error. The purpose of this research is to detect double-yolked (DY) chicken eggs with weight and ratio of the egg’s size using fuzzy logic and developing a low cost prototype to reduce the cost of separation. The K-means clustering is used for separating DY and SY, firstly. However, the error from this technique is still high as 15.05% because of its hard clustering. Therefore, the intersection zone scattering from using the weight and ratio of the egg’s size to input of DY and SY is taken into consider with fuzzy logic algorithm, to improve the error. The results of errors from fuzzy logic are depended with input membership functions (MF). This research selects triangular MF of weight as low = 65 g, medium = 75 g and high = 85 g, while ratio of the egg is triangular MF as low = 1.30, medium = 1.40 and high = 1.50. This algorithm is not provide the minimum total error but it gives the low error to detect a double yolk while the real egg is SY as 1.43% of total eggs. This algorithm is applied to develop a double yolk egg detection prototype with Mbed platform by a load cell and OpenMV CAM, to measure the weight and ratio of the egg respectively.

Highlights

  • Among commercial species of poultry, double yolk (DY) eggs are seen frequently

  • This study investigated the potential of using the weight and ratio of the egg’s size to input with fuzzy logic to classify chicken eggs into DY categories and applied this algorithm to DY detection machine prototype with Mbed platform by measuring the weight with load cell, size of the egg with OpenMV CAM and processing with Arduino

  • The K-means technique is used for separating DY and single yolk (SY) by 2-dimension as weight and ratio of the eggs firstly, the total error is still high as 15.05%

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Summary

Introduction

Among commercial species of poultry, double yolk (DY) eggs are seen frequently. Typically, an oocyte is discharged by a hen every 18–26 hours, from the left ovary into the oviduct. From interview of the experts to sort DY eggs, they decision it by geometry and weight of the eggs, it was found that DY eggs would have a ratio of length to the width rather than SY eggs and had a lot of weight They could still not exactly determine which of the above reasons would be considered as an egg with more than one egg yolk. 279 chicken eggs are measure the weight by scales and the major and minor axis length by Vernier caliper to calculate the ratio (refer to Fig 1). These data points are in 2-dimensional space weight and ratio. The intersection area was a sample with a fuzzy member that could not be clearly identified as DY eggs or SY eggs

Iteration step 2–4 until the new centroids do not change
Findings
Conclusion
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