Analysis of the Application of Smart Agriculture in Monitoring Soil Moisture for Plant Growth
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Keywords: Smart Agriculture, Soil Moisture, Plant Growth, Data-Driven Monitoring, Agricultural AnalysisAbstract
This study was motivated by the development of Smart Agriculture, which enables more accurate monitoring of agricultural environmental conditions through a data-driven approach. Soil moisture is one of the primary factors influencing plant growth; however, in conventional practices, such monitoring is still often conducted manually and lacks accuracy. This study aims to analyze the application of Smart Agriculture in soil moisture monitoring and to examine its relationship with plant growth. The method used is a literature review with a descriptive-analytical approach, in which data were obtained from various literature sources and analyzed to identify patterns of relationships between soil moisture and plant growth indicators. The results indicate a non-linear relationship between soil moisture and plant growth, with optimal growth occurring within a soil moisture range of 20%–50% volumetric. Conditions below 20% result in stunted growth, while levels above 50% cause reduced growth due to waterlogging. Growth indicators such as plant height, number of leaves, and visual condition show the best performance under optimal soil moisture conditions. The findings of this study confirm that the application of Smart Farming in soil moisture monitoring can support more accurate data-driven decision-making in agricultural management. Further research is recommended to develop practical applications of IoT-based systems to improve the accuracy and efficiency of monitoring.
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