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Application of Color Selection Technology for Eliminating Defective Products of Ripe Sunflower Seeds
Application of Color Selection Technology for Eliminating Defective Products of Ripe Sunflower Seeds
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Application of Color Selection Technology for Eliminating Defective Products of Ripe Sunflower Seeds
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Application of Color Selection Technology for Eliminating Defective Products of Ripe Sunflower Seeds
Application of Color Selection Technology for Eliminating Defective Products of Ripe Sunflower Seeds

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Application of Color Selection Technology for Eliminating Defective Products of Ripe Sunflower Seeds
Application of Color Selection Technology for Eliminating Defective Products of Ripe Sunflower Seeds
Journal Article

Application of Color Selection Technology for Eliminating Defective Products of Ripe Sunflower Seeds

2025
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Overview
Introduction Sunflower seeds are prone to producing defective products during planting, production, and preservation due to issues such as foreign matter mixing, heat damage, mildew, and insect infestation. These defects ultimately affect the overall quality of the products. With increasing consumer demand for high-quality sunflower seeds, efficient sorting has become a crucial part of quality assurance. However, traditional hand-sorting methods (usually 0.005kg/s) are inefficient and insufficient to meet current demands. Objective This study aims to address the challenges of sorting cooked sunflower seeds, which differ in color from raw seeds due to skin abrasion and soup water impregnation during preparation. We developed a new algorithm in collaboration with Meiya Company to introduce color-sorting technology specifically designed for ripe seeds, thereby improving consumer satisfaction and product quality. Main Results Compared to manual selection, the new color-sorting technology achieved an average removal rate of defective products of approximately 99.4%, a significant improvement from the previous rate of around 66%. It can also achieve a 100% removal rate for certain foreign elements, such as insects, animal feces, and yellow seeds. The by-product rate of color selection is about 0.02%, comparable to the 0.01% for manual selection. Additionally, the implementation of this technology can save enterprises more than 5 million yuan per year. Conclusion The introduction of the ripe seed color-sorting technology significantly enhances the removal rate of defective products while maintaining a low by-product rate. This technology not only improves the overall quality of sunflower seed products but also provides substantial economic benefits for companies, demonstrating significant practical implications for the industry.