Attribute selection impact on linear and nonlinear regression models for crop yield prediction
A Gonzalez-Sanchez, J Frausto-Solis… - The Scientific World …, 2014 - Wiley Online Library
Efficient cropping requires yield estimation for each involved crop, where data‐driven
models are commonly applied. In recent years, some data‐driven modeling technique
comparisons have been made, looking for the best model to yield prediction. However,
attributes are usually selected based on expertise assessment or in dimensionality reduction
algorithms. A fairer comparison should include the best subset of features for each
regression technique; an evaluation including several crops is preferred. This paper …
models are commonly applied. In recent years, some data‐driven modeling technique
comparisons have been made, looking for the best model to yield prediction. However,
attributes are usually selected based on expertise assessment or in dimensionality reduction
algorithms. A fairer comparison should include the best subset of features for each
regression technique; an evaluation including several crops is preferred. This paper …
Attribute selection impact on linear and nonlinear regression models for crop yield prediction
JF SOLIS, WO BUSTAMANTE - sidalc.net
Efficient cropping requires yield estimation for each involved crop, where data-driven
models are commonly applied. In recent years, some data-driven modeling technique
comparisons have been made, looking for the best model to yield prediction. However,
attributes are usually selected based on expertise assessment or in dimensionality reduction
algorithms. A fairer comparison should include the best subset of features for each
regression technique; an evaluation including several crops is preferred. This paper …
models are commonly applied. In recent years, some data-driven modeling technique
comparisons have been made, looking for the best model to yield prediction. However,
attributes are usually selected based on expertise assessment or in dimensionality reduction
algorithms. A fairer comparison should include the best subset of features for each
regression technique; an evaluation including several crops is preferred. This paper …
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