Evaluation of machine learning methods to predict soil moisture constants with different combinations of soil input data for calcareous soils in a semi arid area
Sign Up to like & getrecommendations! Published in 2020 at "Agricultural Water Management"
DOI: 10.1016/j.agwat.2020.106121
Abstract: This study evaluated the performance of deep learning (DL), artificial neural network (ANN) and k-nearest neighbour (kNN) models to estimate field capacity (FC) and permanent wilting point (PWP) using four combinations of soil data. The… read more here.
Keywords: estimation; knn models; calcareous soils; density ... See more keywords