4.7 Article

Application of Machine Learning Algorithms in Plant Breeding: Predicting Yield From Hyperspectral Reflectance in Soybean

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Computer Science, Artificial Intelligence

Unsupervised feature selection by self -paced learning regularization

Wei Zheng et al.

PATTERN RECOGNITION LETTERS (2020)

Article Biotechnology & Applied Microbiology

Heuristic filter feature selection methods for medical datasets

Mehdi Alirezanejad et al.

GENOMICS (2020)

Article Environmental Sciences

Modelling of sugarcane yield using LISS-IV data based on ground LAI and yield observations

Amit Kumar Verma et al.

GEOCARTO INTERNATIONAL (2020)

Review Environmental Sciences

Hyperspectral Classification of Plants: A Review of Waveband Selection Generalisability

Andrew Hennessy et al.

REMOTE SENSING (2020)

Article Multidisciplinary Sciences

Regularized selection indices for breeding value prediction using hyper-spectral image data

Marco Lopez-Cruz et al.

SCIENTIFIC REPORTS (2020)

Article Environmental Sciences

Alfalfa Yield Prediction Using UAV-Based Hyperspectral Imagery and Ensemble Learning

Luwei Feng et al.

REMOTE SENSING (2020)

Article Operations Research & Management Science

Forecasting the Crop Yield Production in Trichy District Using Fuzzy C-Means Algorithm and Multilayer Perceptron (MLP)

M. C. S. Geetha et al.

INTERNATIONAL JOURNAL OF KNOWLEDGE AND SYSTEMS SCIENCE (2020)

Article Engineering, Environmental

Sweet Corn Yield Simulation Using Normalized Difference Vegetation Index and Leaf Area Index

Pavlo Lykhovyd

JOURNAL OF ECOLOGICAL ENGINEERING (2020)

Article Biodiversity Conservation

Growing more with less: Breeding and developing drought resilient soybean to improve food security

Anamika Dubey et al.

ECOLOGICAL INDICATORS (2019)

Article Plant Sciences

California Almond Yield Prediction at the Orchard Level With a Machine Learning Approach

Zhou Zhang et al.

FRONTIERS IN PLANT SCIENCE (2019)

Article Biotechnology & Applied Microbiology

Prediction of plant lncRNA by ensemble machine learning classifiers

Caitlin M. A. Simopoulos et al.

BMC GENOMICS (2018)

Article Engineering, Electrical & Electronic

Machine Learning Regression Techniques for the Silage Maize Yield Prediction Using Time-Series Images of Landsat 8 OLI

Hossein Aghighi et al.

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2018)

Article Statistics & Probability

The relative performance of ensemble methods with deep convolutional neural networks for image classification

Cheng Ju et al.

JOURNAL OF APPLIED STATISTICS (2018)

Review Plant Sciences

Translating High-Throughput Phenotyping into Genetic Gain

Jose Luis Araus et al.

TRENDS IN PLANT SCIENCE (2018)

Article Environmental Sciences

The Impact of Tourist Traffic on the Condition and Cell Structures of Alpine Swards

Marlena Kycko et al.

REMOTE SENSING (2018)

Article Computer Science, Information Systems

A Novel Dynamic Android Malware Detection System With Ensemble Learning

Pengbin Feng et al.

IEEE ACCESS (2018)

Article Engineering, Environmental

Wastewater treatment plant performance analysis using artificial intelligence - an ensemble approach

Vahid Nourani et al.

WATER SCIENCE AND TECHNOLOGY (2018)

Article Construction & Building Technology

An ensemble learning framework for anomaly detection in building energy consumption

Daniel B. Araya et al.

ENERGY AND BUILDINGS (2017)

Article Biochemical Research Methods

Predicting grain yield using canopy hyperspectral reflectance in wheat breeding data

Osval A. Montesinos-Lopez et al.

PLANT METHODS (2017)

Review Biochemistry & Molecular Biology

Plant Phenomics, From Sensors to Knowledge

Francois Tardieu et al.

CURRENT BIOLOGY (2017)

Article Environmental Sciences

A comparative study of artificial neural network (MLP, RBF) and support vector machine models for river flow prediction

Mohammad Ali Ghorbani et al.

ENVIRONMENTAL EARTH SCIENCES (2016)

Article Remote Sensing

The use of airborne hyperspectral data for tree species classification in a species-rich Central European forest area

Ronny Richter et al.

INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2016)

Article Meteorology & Atmospheric Sciences

Calibrated Ensemble Forecasts Using Quantile Regression Forests and Ensemble Model Output Statistics

Maxime Taillardat et al.

MONTHLY WEATHER REVIEW (2016)

Article Multidisciplinary Sciences

Genetic dissection of plant architecture and yield-related traits in Brassica napus

Guangqin Cai et al.

SCIENTIFIC REPORTS (2016)

Review Plant Sciences

Field high-throughput phenotyping: the new crop breeding frontier

Jose Luis Araus et al.

TRENDS IN PLANT SCIENCE (2014)

Proceedings Paper Engineering, Electrical & Electronic

APPLICATION OF STATISTICAL AND MACHINE LEARNING MODELS FOR GRASSLAND YIELD ESTIMATION BASED ON A HYPERTEMPORAL SATELLITE REMOTE SENSING TIME SERIES

Iftikhar Ali et al.

2014 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) (2014)

Article Geography, Physical

Changes in plant defense chemistry (pyrrolizidine alkaloids) revealed through high-resolution spectroscopy

Sabrina Carvalho et al.

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2013)

Article Food Science & Technology

Quantification of Nitrogen Status in Rice by Least Squares Support Vector Machines and Reflectance Spectroscopy

Yongni Shao et al.

FOOD AND BIOPROCESS TECHNOLOGY (2012)

Review Computer Science, Artificial Intelligence

A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Based Approaches

Mikel Galar et al.

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS (2012)

Article Multidisciplinary Sciences

Solutions for a cultivated planet

Jonathan A. Foley et al.

NATURE (2011)

Review Plant Sciences

Phenomics - technologies to relieve the phenotyping bottleneck

Robert T. Furbank et al.

TRENDS IN PLANT SCIENCE (2011)

Article Statistics & Probability

ggplot2

Hadley Wickham

WILEY INTERDISCIPLINARY REVIEWS-COMPUTATIONAL STATISTICS (2011)

Article Computer Science, Artificial Intelligence

Optimal feature selection for support vector machines

Minh Hoai Nguyen et al.

PATTERN RECOGNITION (2010)

Editorial Material Multidisciplinary Sciences

Beneficial Biofuels-The Food, Energy, and Environment Trilemma

David Tilman et al.

SCIENCE (2009)

Article Automation & Control Systems

ParLeS: Software for chemometric analysis of spectroscopic data

Raphael A. Viscarra Rossel

CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2008)

Article Computer Science, Interdisciplinary Applications

Principal component analysis for data containing outliers and missing elements

Sven Serneels et al.

COMPUTATIONAL STATISTICS & DATA ANALYSIS (2008)

Article Computer Science, Artificial Intelligence

Feature selection for the SVM: An application to hypertension diagnosis

Chao-Ton Su et al.

EXPERT SYSTEMS WITH APPLICATIONS (2008)

Article Computer Science, Interdisciplinary Applications

Building Predictive Models in R Using the caret Package

Max Kuhn

JOURNAL OF STATISTICAL SOFTWARE (2008)

Review Plant Sciences

Quantitative trait loci and crop performance under abiotic stress: Where do we stand?

Nicholas C. Collins et al.

PLANT PHYSIOLOGY (2008)

Proceedings Paper Computer Science, Artificial Intelligence

Enhanced recursive feature elimination

Xue-Wen Chen et al.

ICMLA 2007: SIXTH INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS, PROCEEDINGS (2007)

Article Automation & Control Systems

Recursive feature elimination with random forest for PTR-MS analysis of agroindustrial products

Pablo M. Granitto et al.

CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2006)

Article Environmental Sciences

Fuzzy learning vector quantization for hyperspectral coastal vegetation classification

AM Filippi et al.

REMOTE SENSING OF ENVIRONMENT (2006)

Article Biodiversity Conservation

A generalized, bioclimatic index to predict foliar phenology in response to climate

WM Jolly et al.

GLOBAL CHANGE BIOLOGY (2005)

Article Biochemical Research Methods

Multiple SVM-RFE for gene selection in cancer classification with expression data

KB Duan et al.

IEEE TRANSACTIONS ON NANOBIOSCIENCE (2005)

Article Computer Science, Artificial Intelligence

Gene selection for cancer classification using support vector machines

I Guyon et al.

MACHINE LEARNING (2002)

Article Computer Science, Artificial Intelligence

Random forests

L Breiman

MACHINE LEARNING (2001)