Selection of Important Features for Optimizing Crop Yield Prediction

Volume: 10, Issue: 3, Pages: 54 - 71
Published: Jul 1, 2019
Abstract
In agriculture, crop yield prediction is critical. Crop yield depends on various features including geographic, climate and biological. This research article discusses five Feature Selection (FS) algorithms namely Sequential Forward FS, Sequential Backward Elimination FS, Correlation based FS, Random Forest Variable Importance and the Variance Inflation Factor algorithm for feature selection. Data used for the analysis was drawn from secondary...
Paper Details
Title
Selection of Important Features for Optimizing Crop Yield Prediction
Published Date
Jul 1, 2019
Volume
10
Issue
3
Pages
54 - 71
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