Background: Smart farming uses information and communication technology (ICT) to optimize crop and livestock environments. It is applied in greenhouses, vinyl houses, and livestock barns. By collecting data on crop growth and environmental conditions, smart farms create optimal growth environments. This leads to higher productivity and better quality with less labor, energy, and nutrient input than traditional farming methods. In Korea, crop production has declined due to fewer farmers, and over 80% of agricultural products are imported. The low birth rate and aging population are worsening the shortage of agricultural workers. It is predicted that Korea could face a food shortage in three years due to low self-sufficiency. Smart farms are seen as a solution. They can be implemented in urban areas and are considered a profitable model due to their high production potential. Methods: Nutrient machines are a vital part of smart farming. They dilute and supply essential nutrients for crop growth. However, different machines require varying nutrient ratios, which complicates crop management. To address this, a recipe program has been developed. It automatically adjusts nutrient ratios according to the user’s standard settings. This ensures uniform nutrient delivery, regardless of the type of machine used. Result: The recipe program is expected to improve crop production. It ensures consistent nutrient supply, optimizing growth conditions. It also enhances user convenience by standardizing nutrient management across different machines, reducing complexity in crop cultivation.
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