Monitoring of Soil Parameters and Controlling of Soil Moisture
DOI:
https://doi.org/10.70135/seejph.vi.5841Abstract
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.
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