EVALUATING FEATURE SELECTION METHODS AND CLASSIFIERS FOR CROP PREDICTION

Fuente: Zenodo

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Bibliographic Details
Main Author:	International Journal of Technology, Leadership and Sciences
Format:	Recurso digital
Published:	Zenodo 2026
Subjects:	Crop Prediction Feature Selection Machine Learning Classification Models Random Forest Decision Tree Logistic Regression Precision Agriculture Performance Evaluation ROC-AUC
Online Access:	Acceder al recurso
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