Abstract:
Through a comparison study in Ziaran region, Iran, we used a hierarchical set of inputs by using Bulk Density (Bd), sand, silt, clay and Organic Matter (OM) contents and developed the Artificial Neural Network (ANN) models and run the k-NN estimation algorithms to estimate water content at field capacity and permanent wilting point.
Ali Keshavarzi, Fereydoon Sarmadian, Ali Asghar Zolfaghari and Paria Pezeshki, 2012. Estimating Water Content at Field Capacity and Permanent Wilting Point Using Non-parametric K-NN Algorithm. International Journal of Agricultural Research, 7: 166-168.
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