Investigation of automated nutrient solution feeding variables based on the slab weight for efficient water and nutrient management of paprika production

Jongyei Kim, J. Baek, Jongyun Kim
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Abstract

This study was conducted to investigate potential variables that can be used in slab weight-based automated nutrient solution feeding algorithms for efficient water and nutrient management for paprika production in Korea. A slab weight measurement system was installed at paprika production farms in two provinces (Gangwon and Gyeongsangnam-do) in Korea, and we analyzed the fertigation data at production farms, and to investigate the variables applicable to the weight control-based automated nutrient feeding system. As the result, the difference in the amount of fertigation was mostly dependent on the growing season rather than the region, and the daily fertigation amount was determined by the number of fertigation applications per day, suggesting environmental data such as temperature and relative humidity would be the required variable for season estimation, and the number of fertigation applications would be the control variable for automated fertigation system. The sunrise and sunset times were the most critical variables for fertigation timing, suggesting the weather information will need to be integrated into the system. The demand for fertigation was different depending on the crop growth stages, thus numerical variables that can quantify the crop growth stages should be developed further. Further study for the leaching fraction would be required to use it for the potential control variable, since complex considerations for the electrical conductivity of the nutrient solution supplied and drained and the fertigation amount per application would affect the leaching fraction value. Consequently, the crop weight change data could provide the information for analysis of nutrient feeding in the production farms, and we could consider the various measurement and control variables that can be used in the weight-based automated nutrient feeding system.
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基于板重的自动化营养液进料变量对辣椒生产中水分和养分有效管理的研究
本研究旨在研究可用于基于板重的自动营养液饲喂算法的潜在变量,以实现韩国辣椒生产中有效的水和养分管理。在韩国两个道(江原和庆尚南道)的辣椒生产农场安装了板坯重量测量系统,分析了生产农场的施肥数据,并调查了适用于基于体重控制的自动化营养喂养系统的变量。结果表明,施肥量的差异主要取决于生长季节而非区域,日施肥量由日施肥次数决定,表明温度、相对湿度等环境数据可作为季节估算的必要变量,施肥次数可作为自动化施肥系统的控制变量。日出和日落时间是施肥时间最关键的变量,这表明需要将天气信息整合到系统中。作物生育期对施肥的需求不同,因此需要进一步开发量化作物生育期的数值变量。为了将其作为潜在控制变量,需要对浸出分数进行进一步的研究,因为对供排水营养液的电导率和每次施用的施肥量的复杂考虑会影响浸出分数值。因此,作物体重变化数据可以为生产农场的营养喂养分析提供信息,我们可以考虑在基于体重的自动化营养喂养系统中使用各种测量和控制变量。
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