Ahn, Tae In Yang, Jung-Seok Park, Soo Hyun Moon, Heon Woo Lee, Ju Young 2024-01-19T17:00:39Z 2024-01-19T17:00:39Z 2021-08-31 2020-09 2073-4395 https://pubs.kist.re.kr/handle/201004/118235 Electrical conductivity of the growing media or drainage indicates the nutritional conditions in the cultivation system. However, the nutrient uptake phenomenon has not been related well to the soilless culture system. Herein, we report on the design, theoretical analyses, and verification of a method for an online indicator related to plant nutritional aspects. Models for simulating nutrient and water transport in a porous medium were constructed for analyses of the nutrient uptake estimation method. In simulation analyses, we summarized the theoretical relationships between flow rates of total nutrients in a substrate and nutrient uptake. For concept validation, we conducted a greenhouse experiment for correlation analysis with the growth of tomato plants, conventional nutrient, and water management indicators, and developed online indicators related to plant nutritional aspects. Onsite application of the indicator showed a higher correlation with tomato yield than conventional management indicators, such as transpiration, irrigation, drainage ratio, leaching fraction, and electrical conductivity of drainage. In addition, to assess the usability of a nutrient uptake indicator as an onsite decision-making technique, data normalization was conducted. Through this, the time series responsiveness of a nutrient uptake indicator to the yield change was confirmed. English MDPI Translation of Irrigation, Drainage, and Electrical Conductivity Data in a Soilless Culture System into Plant Growth Information for the Development of an Online Indicator Related to Plant Nutritional Aspects Article 10.3390/agronomy10091306 1 AGRONOMY-BASEL, v.10, no.9 AGRONOMY-BASEL 10 9 scie scopus 000581417600001 2-s2.0-85090931397 Agronomy Plant Sciences Agriculture Plant Sciences Article CAPSICUM-ANNUUM L. NUTRIENT-UPTAKE LEAF-AREA WATER-USE BIG DATA TRANSPIRATION MODEL RADIATION STOICHIOMETRY SIMULATION nutrient uptake decision support water use efficiency nutrient use efficiency