Published Paper Details:

Soil erosion is a critical global environmental challenge, leading to land degradation, loss of agricultural productivity, and sedimentation of water bodies. Traditional, uniform erosion control methods often fail due to the dynamic and spatially variable nature of erosion drivers like rainfall, topography, soil type, and land use. This paper proposes an adaptive, site-specific framework for soil erosion control and prevention. By leveraging modern technologies such as IoT-based sensors, Geographic Information Systems (GIS), and Remote Sensing (RS), the proposed system enables real-time monitoring and data-driven decision-making. The core of the methodology involves continuous data acquisition, analysis using predictive models, and the recommendation of context-appropriate mitigation strategies. This adaptive approach moves beyond static solutions, offering a dynamic, cost-effective, and scalable model for sustainable land management. Preliminary conceptual analysis suggests that this framework can significantly improve the efficacy of erosion control measures by ensuring they are precisely tailored to the evolving conditions of a landscape.