The Effect of Different Optimization Strategies to Physics-Constrained Deep Learning for Soil Moisture Estimation

arXiv:2403.08154v1 Announce Type: new
Abstract: Soil moisture is a key hydrological parameter that has significant importance to human society and the environment. Accurate modeling and monitoring of soil moisture in crop fields, especially in the root zone (top 100 cm of soil), is essential for improving agricultural production and crop yield with the help of precision irrigation and farming tools. Realizing the full sensor data potential depends greatly on advanced analytical and predictive domain-aware models. In this work, we propose …

abstract arxiv cs.lg deep learning eess.sp environment fields human importance key modeling monitoring optimization physics society strategies the environment type