Young farmers in Gimhae, South Korea, are digitizing farm operations using data-driven apps to monitor livestock health [1].

This transition toward "smart farming" is critical as rural populations age and labor shortages increase. By automating monitoring and data collection, these farmers aim to lower operating costs and improve overall efficiency [1].

The technology allows for a shift from manual observation to precise, digital tracking. In Gimhae, operators use devices that track individual animal metrics and transmit that information directly to mobile devices [1]. This system reduces the need for constant physical presence in the stalls and allows for quicker medical interventions.

"The device analyzes individual data and sends it straight to my smartphone," a young farmer from Gimhae said. "It essentially allows us to monitor our cows in real time" [1].

This trend in South Korea mirrors a broader global shift toward agricultural technology. In other regions, young farmers are integrating drones and specialized software to manage crops and livestock [2]. For example, 26-year-old Australian farmer Brooke Watts has embraced these latest agricultural tools to optimize farm management [2].

While the focus in Gimhae is on livestock, other technological advancements include the expansion of greenhouse infrastructure. Global greenhouse coverage reached more than 5,000 square miles as of 2024 [3]. Additionally, the integration of artificial intelligence continues to grow, with reports highlighting the experiences of various farmers implementing AI-driven systems to stabilize food production [4].

By combining real-time livestock data with automated systems, the farmers in Gimhae are attempting to make rural agriculture a viable career for a new generation. The goal is to replace labor-intensive chores with data analysis, reducing the physical toll of farming while increasing the precision of animal care [1].

“It essentially allows us to monitor our cows in real time.”

The adoption of AgTech in South Korea reflects a systemic response to the demographic crisis facing rural East Asia. As the farming population shrinks and ages, the reliance on data-driven livestock monitoring and AI is no longer an optional upgrade but a necessity for food security and economic sustainability in the agricultural sector.