Sensor-Based Bermudagrass Yield Prediction Models Using Random Forest Algorithm in Oklahoma

The current available direct and indirect forage biomass estimation methods are prohibitive for producers because they are labor-intensive and time-consuming. Current literature states that (i) machine learning algorithms are promising in agriculture, and (ii) proximity and multispectral sensors can...

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