Soil Organic Carbon

Soil organic carbon (SOC) is a crucial component of soil health, influencing climate change mitigation and agricultural productivity. Current research focuses on improving SOC estimation through advanced techniques like integrating remote sensing data (satellite imagery, sensor data) with machine learning models, including graph neural networks, convolutional neural networks, and attention-based architectures, to overcome limitations of traditional methods. These efforts aim to create more accurate and efficient predictive models for SOC, enabling better land management practices and more reliable carbon accounting. The improved accuracy and scalability of SOC estimation will significantly benefit sustainable agriculture and climate change monitoring.