The challenge
The traditional farmers by marking the edge of the pig ears to identify the pigs in the farm. In each important production milestone, the workers with their naked eye identified the ear marks and wrote down the information on paper. It was not only inefficient, but also limited in the quantity identified. In addition, the risk of misidentifying ear marks increased as piglets grew up.
The farmers could only tell how the pigs grew when they were ready to be delivered for sale. It was impossible to obtain real-time breeding and growth status. It was not convenient to adjust and optimize the breeding process.
There were often problems such as untimely data entry, inaccurate event entry, and substandard performance appraisal, resulting in low management efficiency.
The traditional operations model did not allow monitoring and management through from birth to delivery for sale for each pig. It was difficult to hold anyone accountable for bad meat.
The application of smart breeding and traceability system based on C71 mobile computer has supported the farming enterprises to realize the standardization, scaling and refinement of pig farming management and the cost.
C71 has enabled quick count of the number of pigs with an accuracy rate reaching 99.9%, which has greatly reduced the workload of manual counts and improved efficiency.
The real-time dynamic collection of accurate pig growth data employing C71 has reformed the lengthy data feedback mechanism of pig farming in the past.
The application has realized the supervision and management from farm to table. The traceability of information throughout the process has also provided a basis for traceability of food source, which has contributed to the safety of meat products.
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