Digital Water: Computing Tools, Technologies, and Trends Submission Guidelines

Introduction to the Special Collection

Hyperlinked titles are either completed or in press. Titles with no hyperlink are expected later. Titles with green lock icon after them are open access (OA) articles. The full text of non-OA completed articles in this collection is accessible for a limited time.

Articles and In Press

• A Review of Machine Learning Models for Harmful Algal Bloom Monitoring in Freshwater Systems
• Combining Soil Water Content Data with Computer Simulation Models for Improved Irrigation Scheduling
• Diurnal Soybean Water Stress Computed Using Statistical-Based Thermal Indices With High-Frequency Unmanned Aircraft Flights
• Diurnal Trends of Maize Canopy Cover Under Water Stress
• Evaluating A Novel Radio Frequency-Based Soil Moisture Sensor Under Saline And Imperfect Installation
• Extreme Learning Machine Predicts High-Frequency Stream Flow and Nitrate-N Concentrations in a Karst Agricultural Watershed
• High-Resolution Sensor System to Investigate Solute Transport in Saturated Sediments
• Impacts of Aquatic Vegetation Dynamics on Nitrate Removal in Karst Agricultural Streams: Insights from Unmanned Aircraft Systems and In Situ Sensing
• Metrics for Evaluating Interreplicate Variability of Irrigation Scheduling Sensors
• Prediction Of Chlorophyll-a As an Index of Harmful Algal Blooms Using Machine Learning Models
• Towards Autonomous, Optimal Water Sampling with Aerial and Surface Vehicles for Rapid Water Quality Assessment