Monitoring of Soil Parameters and Controlling of Soil Moisture

Abstract

The proposed system combines advanced sensor technologies with sophisticated machine learning techniques, such Artificial Neural Networks (ANN) and Support Vector Machines (SVM), to provide a reliable real-time monitoring solution for important soil parameters. The system gathers and analyses enormous volumes of data on soil moisture, nutrient levels, and other important factors using cutting-edge sensors and remote sensing capabilities. Complex, non-linear interactions within the data are described by SVM, whereas complex patterns and dependencies are captured by ANN. As a result, projections of soil parameters are more accurate and reliable. This integrated system presents a fresh approach to sustainable agriculture and environmental management by streamlining the supply of accurate insights into soil health and providing farmers and environmentalists with timely information for well-informed decision-making.