Yanggu County in Gangwon Province is set to deploy collar sensors to monitor estrus and calving signs for approximately 300 breeding cattle, notifying farmers via mobile phones. The initiative aims to enhance breeding efficiency by managing individual behavioral data alongside artificial insemination and pregnancy histories, thereby reducing the labor burden of barn monitoring.
According to Yanggu County, this project is part of the '2026 Smart Village Supply and Expansion Project,' which includes a pilot program for developing a total solution to improve the efficiency of Hanwoo breeding. The total budget for the project is 750 million won. The county plans to begin this year with the installation of equipment, system setup, and phased pilot operations.
The project will involve the distribution and installation of 300 collar devices and 15 receiving antennas. The data collected by the sensors will be used to analyze signs of estrus based on activity levels and behavioral patterns. Records of artificial insemination history, pregnancy diagnosis results, and expected calving dates will also be maintained for continuous management of the breeding process.
When significant changes are detected, notifications will be sent to farmers via text or mobile alerts. Farmers will be able to check the status of individual cattle through a mobile service, while the Agricultural Technology Center will manage related information through an integrated monitoring system. The county also plans to provide training on equipment usage and service application to participating farmers.
Missing estrus signs in breeding management can lead to missed opportunities for artificial insemination. According to data from the National Institute of Animal Science, non-pregnant breeding cattle typically show estrus every 21 days, although this can vary based on individual and nutritional conditions. During summer, signs may be less pronounced, making detection more challenging. The combination of detection and record-keeping can help identify changes during times when human observation is not possible.
The role of the collar devices is to quantify behavioral changes. The estrus detection technology released by the National Institute of Animal Science detects the activity levels of cows and transmits the data to a computer. Yanggu County's project also analyzes activity levels and behavioral patterns, serving as a supplementary observation tool. However, field verification is needed to determine how accurately the alerts correspond to actual estrus events.
Another key aspect of this project is the integration of breeding histories. By confirming the dates of insemination and pregnancy diagnosis results alongside behavioral data, it becomes easier to organize the next observation targets and timings. This can also help in managing cattle that have not confirmed pregnancy after insemination or those approaching their expected calving dates, potentially reducing the need for separate record comparisons.
Calving notifications can assist farmers in determining when to check their barns. By examining expected dates and behavioral changes, farmers can prioritize which cattle to observe first. However, the provided materials do not specify concrete behavioral indicators for calving predictions, advance notification times, or accuracy targets. Comparing detection results with actual calving records will be a key challenge during the pilot operation.
Reducing labor costs will not solely depend on the installation of equipment. Frequent unnecessary alerts or missed significant changes could lead farmers to revert to repeated observations. Maintaining stable communication and equipment wear conditions, along with a procedure for verifying the site after receiving alerts, will be essential to enhance usability. Since pregnancy status is confirmed through separate diagnostic results, linking behavioral analysis with diagnostic records is also crucial.
The success of the project should be evaluated based on the degree of actual management improvement rather than the number of devices distributed. By comparing the accuracy of estrus detection, conception rates after insemination, calving intervals, and farmers' observation times before and after implementation, the effectiveness can be assessed. Currently, the disclosed plan lacks specific target figures for improving conception rates or reducing labor hours, making it difficult to determine economic benefits in advance.
Jeong Il-seop, head of the Livestock Distribution Division in Yanggu County, stated, “We expect that utilizing smart technology will allow us to more efficiently identify estrus and calving signs in Hanwoo and systematically manage breeding information. We will proceed with the project without any setbacks to reduce the labor burden on farmers and enhance breeding efficiency.”
* This article has been translated by AI.
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