An optimal study on process control mechanics to measure the pH level in hydroponics system
Author(s): V Kaviyarasu and T Shobana
Abstract: This article presents the construction and design of statistical process control mechanisms in hydroponics system. This system is soilless culture of plants such as temperature, water limit, pH level and nutrients substance for the plants. Its helps to increase the productivity over a series of continuous monitoring system an alternative method of cultivation in a smaller areas. Here an attempt is made to reduce the farmer’s effort without human intervention to reduce loss, increase productivity. An important methodology of control chart for attributes is proposed to detect changes in production processes, through statistical level of confidence. The experiment were gathered with a suitable dataset by applying Cumulative Sum Control (CUSUM) chart was employed to study the proposed dataset to monitor and detect any deviations from the pH range and ensure that plant growth remains consistent and unaffected by potential fluctuations in the hydroponic environment in water spinach. The result are provided with numerical illustrations towards highlighting that even though a wider range of pH levels was performed well in the plant height on weekly basis of water spinach as a parameter, which indicate that the process is stable and consistent. Also, statistical analyses were performed using the Minitab 22 software are provided with suitable applications.
V Kaviyarasu, T Shobana. An optimal study on process control mechanics to measure the pH level in hydroponics system. Int J Stat Appl Math 2024;9(6):115-120. DOI: 10.22271/maths.2024.v9.i6b.1905
