Identifying Optimal Timing and Sensor Integration for Predicting Soil Moisture and Electrical Conductivity using UAV Remote Sensing, Terrain, and Geophysics with ANN Models in Terraced Fields of the U.S. Midwest

Eskandari, Effat

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Abstract: Identifying Optimal Timing and Sensor Integration for Predicting Soil Moisture and Electrical Conductivity using UAV Remote Sensing, Terrain, and Geophysics with ANN Models in Terraced Fields of the U.S. Midwest (AGU25)

Identifying Optimal Timing and Sensor Integration for Predicting Soil Moisture and Electrical Conductivity using UAV Remote Sensing, Terrain, and Geophysics with ANN Models in Terraced Fields of the U.S. Midwest

Effat Eskandari¹, Katherine Grote¹ and Joel Schott², (1)Missouri University of Science and Technology, Earth Science and Engineering, Rolla, United States, (2)Missouri University of Science and Technology, Rolla, MO, United States