In recent years, the traditional manual picking of dried mandarins, a practice that has been in use for centuries, is gradually being replaced by advanced machinery. According to a report from the Science and Technology Department of the Autonomous Region, a high-tech sorting machine based on optoelectronic principles has recently been introduced. This machine uses computer vision to analyze the color of the fruit's surface and accurately identify quality differences. It not only removes impurities but also effectively separates moldy, black, oily, and green fruits—factors that can negatively impact product quality.
Industry experts believe that the successful development of this specialized color sorter marks a turning point, potentially ending the labor-intensive "tear-saw" method of manual selection and significantly reducing the demand for manual labor. With the rapid expansion of planting areas and a sharp increase in production, the manual selection process has become increasingly inefficient, consuming large amounts of manpower, resources, and money. Moreover, the inconsistency in manual grading has posed a major challenge to the smooth circulation of the product.
According to preliminary data, during peak seasons in Zhongning County alone, approximately 10,000 workers are involved in daily picking, with nearly 3,000 working during off-seasons. There is often intense competition for labor between different groups. After more than two years of collaborative efforts by the Tianjin Optoelectronics Application Technology Research Institute and the Zhongning County Win-win SME Technology Service Center, the first dedicated color sorting machine was finally launched. Testing results show that the machine can process between 10 to 15 tons of goji berries per day, delivering consistent and reliable quality. One machine’s daily output is equivalent to the work of 120 people, and the cost per kilogram is just 0.13 yuan, which is much lower than the 0.20 yuan per kilogram for manual picking. This technological advancement is expected to bring about a significant transformation in the industry, improving efficiency while reducing costs and labor dependency.
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