iot4ags research

Autonomous Navigation in Digital Agriculture: Using the Segment-Anything-Model for Corn Row Identification
P-AgSLAM: In-Row and Under-Canopy SLAM for Agricultural Monitoring in Cornfields
Statistical Characterization of 28GHz V2X Channels via Autonomous Beam-Steered Measurements
Environmental Factors Influencing Stem Rot Development in Peanut: Predictors and Action Thresholds for Disease Management
Enhancing Subsurface Soil Moisture Forecasting: A Long Short-Term Memory Network Model Using Weather Data
Sensor-Based Quantification of Peanut Disease Defoliation Using an Unmanned Aircraft System and Multispectral Imagery