Predicting the suitable fertilizer for crop based on soil and environmental factors using various feature selection techniques with classifiers

Prediction of Land Suitability for Crop Cultivation Based on Soil and Environmental Characteristics Using Modified Recursive Feature Elimination Technique With Various Classifiers

(2021) G. Mariammal et al.   IEEE Transactions on Computational Social Systems

A weighted ensemble-based active learning model to label microarray data

(2020) Rajonya De et al.   MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING

Multi-class and feature selection extensions of Roughly Balanced Bagging for imbalanced data

(2017) Mateusz Lango et al.   JOURNAL OF INTELLIGENT INFORMATION SYSTEMS

Feature Selection with theBorutaPackage

(2015) Miron B. Kursa et al.   Journal of Statistical Software

Establishing a scientific basis for fertilizer recommendations for wheat in China: Yield response and agronomic efficiency

(2012) Limin Chuan et al.   FIELD CROPS RESEARCH

A variable elimination method to improve the parsimony of MLR models using the successive projections algorithm

(2008) Roberto Kawakami Harrop Galvão et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS