A Hybrid CFS Filter and RF-RFE Wrapper-Based Feature Extraction for Enhanced Agricultural Crop Yield Prediction Modeling

Machine learning for optimizing complex site-specific management

(2020) Yuji Saikai et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Systematic literature review of implementations of precision agriculture

(2020) Isabel Cisternas et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Reinforced XGBoost machine learning model for sustainable intelligent agrarian applications

(2020) Dhivya Elavarasan et al.   JOURNAL OF INTELLIGENT & FUZZY SYSTEMS

A hybrid model of fuzzy min–max and brain storm optimization for feature selection and data classification

(2019) Farhad Pourpanah et al.   NEUROCOMPUTING

Stopping rules for mutual information-based feature selection

(2019) Jan Mielniczuk et al.   NEUROCOMPUTING

Benchmark for filter methods for feature selection in high-dimensional classification data

(2019) Andrea Bommert et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Probabilistic maize yield prediction over East Africa using dynamic ensemble seasonal climate forecasts

(2018) Geoffrey E.O. Ogutu et al.   AGRICULTURAL AND FOREST METEOROLOGY

Rainfall prediction for the Kerala state of India using artificial intelligence approaches

(2018) Yajnaseni Dash et al.   COMPUTERS & ELECTRICAL ENGINEERING

Detection and classification of citrus diseases in agriculture based on optimized weighted segmentation and feature selection

(2018) Muhammad Sharif et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Machine learning approaches for crop yield prediction and nitrogen status estimation in precision agriculture: A review

(2018) Anna Chlingaryan et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Multi-stage committee based extreme learning machine model incorporating the influence of climate parameters and seasonality on drought forecasting

(2018) Mumtaz Ali et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Precision agriculture based on crop physiological principles improves whole-farm yield and profit: A case study

(2018) J.P. Monzon et al.   EUROPEAN JOURNAL OF AGRONOMY

Soil moisture forecasting by a hybrid machine learning technique: ELM integrated with ensemble empirical mode decomposition

(2018) Ramendra Prasad et al.   GEODERMA

Early assessment of crop yield from remotely sensed water stress and solar radiation data

(2018) Mauro E. Holzman et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Feature selection in machine learning: A new perspective

(2018) Jie Cai et al.   NEUROCOMPUTING

Boosted adaptive filters

(2018) Dariush Kari et al.   DIGITAL SIGNAL PROCESSING

Soil moisture quantity prediction using optimized neural supported model for sustainable agricultural applications

(2018) Sankhadeep Chatterjee et al.   Sustainable Computing-Informatics & Systems

Current and future applications of statistical machine learning algorithms for agricultural machine vision systems

(2018) Tanzeel U. Rehman et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Forecasting yield by integrating agrarian factors and machine learning models: A survey

(2018) Dhivya Elavarasan et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Theoretical foundations of forward feature selection methods based on mutual information

(2018) Francisco Macedo et al.   NEUROCOMPUTING

Hybrid rough fuzzy soft classifier based multi-class classification model for agriculture crop selection

(2018) N. Deepa et al.   SOFT COMPUTING

Selection of the most important features affecting pistachio endocarp lesion problem using artificial intelligence techniques

(2018) Somayeh Sadr et al.   SCIENTIA HORTICULTURAE

Nonlinear regression via incremental decision trees

(2018) N. Denizcan Vanli et al.   PATTERN RECOGNITION

Early prediction of wheat grain yield production from root-zone soil water content at heading using Crop RS-Met

(2018) David Helman et al.   FIELD CROPS RESEARCH

Optimal feature selection for predicting soil CEC: Comparing the hybrid of ant colony organization algorithm and adaptive network-based fuzzy system with multiple linear regression

(2017) Hosein Shekofteh et al.   GEODERMA

Wood moisture content prediction using feature selection techniques and a kernel method

(2017) Hela Daassi-Gnaba et al.   NEUROCOMPUTING

Feature selection based on quality of information

(2017) Jinghua Liu et al.   NEUROCOMPUTING

Drought assessment and monitoring through blending of multi-sensor indices using machine learning approaches for different climate regions

(2016) Seonyoung Park et al.   AGRICULTURAL AND FOREST METEOROLOGY

An efficient feature selection algorithm for hybrid data

(2016) Feng Wang et al.   NEUROCOMPUTING

mRMR-based feature selection for classification of cotton foreign matter using hyperspectral imaging

(2015) Yu Jiang et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

A novel wrapper method for feature selection and its applications

(2015) Gang Chen et al.   NEUROCOMPUTING

Mutual information criterion for feature selection from incomplete data

(2015) Wenbin Qian et al.   NEUROCOMPUTING

A survey on feature selection methods

(2013) Girish Chandrashekar et al.   COMPUTERS & ELECTRICAL ENGINEERING

Attribute selection method based on a hybrid BPNN and PSO algorithms

(2012) Cong Jin et al.   APPLIED SOFT COMPUTING

Self-adaptive differential evolution for feature selection in hyperspectral image data

(2012) Ashish Ghosh et al.   APPLIED SOFT COMPUTING

Forecasting daily potential evapotranspiration using machine learning and limited climatic data

(2010) Alfonso F. Torres et al.   AGRICULTURAL WATER MANAGEMENT