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Taiwan's largest egg farm upgrades to fully automated washing to reduce breakage and boost quality

At Taiwan's largest laying hen farm, as a batch of fresh eggs leaves the laying house and officially enters the grading and washing line, their fates begin

At Taiwan's largest laying hen farm, as a batch of fresh eggs leaves the laying house and officially enters the grading and washing line, their fates begin to diverge. This automated conveyor belt carries the eggs one by one through four procedures: washing, disinfection, ultraviolet sterilization, and strong-wind drying. Afterward, professionals inspect the appearance of each eggshell one by one to screen out non-standard "substandard eggs," such as those with thin shells, surface water ripples, egg-fluid stains, or cracks. This process is not only the final line of defense for quality control, but also the key for modern farms to increase productivity and reduce losses.

In the past, Taiwan's egg products relied heavily on manual washing and simple inspections. Due to technological and equipment limitations, the washing process often resulted in high breakage rates. If the cleaning process was excessive or improper, the eggshells were easily damaged, leading to fractures or bacterial invasion, and ultimately resulting in discard. To improve this predicament, the farm invested heavily in introducing fully automated grading and washing equipment, paired with high-efficiency ultraviolet germinal lamps and constant-temperature strong-wind drying systems. This ensures that every egg completes full disinfection in the shortest possible time while minimizing mechanical impact on the eggshells. Such equipment upgrades have not only improved the qualified rate, but also substantially reduced the volume of eggs lost to breakage each year.

From an industrial perspective, the modernization of laying hen farms is not merely a simple equipment update, but is closely related to the overall competitiveness of the supply chain. With increasingly stringent domestic and international requirements for food safety and hygiene, consumer demand for sterile, crack-free eggs continues to rise. If farms were to still process eggs using traditional methods, it would be difficult for them to meet the quality standards of large supermarkets and catering operators, and they might even be at a disadvantage in the price competition against imported egg products. Through automated washing and grading, farms are able to stably supply eggs meeting specifications, enhance their brand image, and simultaneously lower labor costs and labor intensity, creating a positive cycle for operational efficiency.

In addition, the modern washing and grading process has also generated indirect benefits for environmental protection. In the past, manual egg washing heavily utilized chemical detergents, often accompanied by high water consumption and wastewater discharge issues. The new system adopts circulating water and low-concentration disinfectants, paired with real-time recovery and reuse mechanisms, reducing water usage by about thirty percent and relatively easing the burden of wastewater treatment. This aligns with the agricultural sustainability and carbon reduction policies promoted by the government in recent years, helping farms secure more policy subsidies and social recognition.

Finally, observing from the perspective of labor and the local economy, while the increased level of automation brought by equipment upgrades has reduced some demand for low-level washing labor, it has simultaneously created high-skill positions such as mechanical maintenance, system operation, and quality inspection. This produces a positive stimulus for agricultural talent training and the employment market in Pingtung, and helps elevate the technical level of the entire agricultural industry chain. If smart agriculture and data analysis can continue to be integrated in the future, it is expected to set a benchmark within Taiwan's egg supply system, driving the industry toward higher added value and sustainable development.

(Source: Central News Agency)

Produced by our editorial team, with AI assistance in editing.