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

Hyperspectral Classification of Plants: A Review of Waveband Selection Generalisability

(2020) Andrew Hennessy et al.   Remote Sensing

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

(2020) Marco Lopez-Cruz et al.   Scientific Reports

Comparing Activation Functions in Modeling Shoreline Variation Using Multilayer Perceptron Neural Network

(2020) Je-Chian Chen et al.   Water

Development of support vector machine-based model and comparative analysis with artificial neural network for modeling the plant tissue culture procedures: effect of plant growth regulators on somatic embryogenesis of chrysanthemum, as a case study

(2020) Mohsen Hesami et al.   Plant Methods

Using Multi-Temporal MODIS NDVI Data to Monitor Tea Status and Forecast Yield: A Case Study at Tanuyen, Laichau, Vietnam

(2020) Phamchimai Phan et al.   Remote Sensing

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

(2020) Luwei Feng et al.   Remote Sensing

Application of Artificial Neural Network for Modeling and Studying In Vitro Genotype-Independent Shoot Regeneration in Wheat

(2020) Mohsen Hesami et al.   Applied Sciences-Basel

Grain yield prediction of rice using multi-temporal UAV-based RGB and multispectral images and model transfer – a case study of small farmlands in the South of China

(2020) Liang Wan et al.   AGRICULTURAL AND FOREST METEOROLOGY

Simulation of satellite reflectance data using high-frequency ground based hyperspectral canopy measurements for in-season estimation of grain yield and grain nitrogen status in winter wheat

(2019) Lukas Prey et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Heuristic filter feature selection methods for medical datasets

(2019) Mehdi Alirezanejad et al.   GENOMICS

Application of Adaptive Neuro-Fuzzy Inference System-Non-dominated Sorting Genetic Algorithm-II (ANFIS-NSGAII) for Modeling and Optimizing Somatic Embryogenesis of Chrysanthemum

(2019) Mohsen Hesami et al.   Frontiers in Plant Science

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

(2019) Zhou Zhang et al.   Frontiers in Plant Science

Development of Fusarium head blight classification index using hyperspectral microscopy images of winter wheat spikelets

(2019) Ning Zhang et al.   BIOSYSTEMS ENGINEERING

NDVI derived from near-infrared-enabled digital cameras: Applicability across different plant functional types

(2018) Gianluca Filippa et al.   AGRICULTURAL AND FOREST METEOROLOGY

Prediction of plant lncRNA by ensemble machine learning classifiers

(2018) Caitlin M. A. Simopoulos et al.   BMC GENOMICS

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

(2018) Anamika Dubey et al.   ECOLOGICAL INDICATORS

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

(2018) Hossein Aghighi et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

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

(2018) Cheng Ju et al.   JOURNAL OF APPLIED STATISTICS

Unsupervised feature selection by self-paced learning regularization

(2018) Wei Zheng et al.   PATTERN RECOGNITION LETTERS

Translating High-Throughput Phenotyping into Genetic Gain

(2018) José Luis Araus et al.   TRENDS IN PLANT SCIENCE

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

(2018) Marlena Kycko et al.   Remote Sensing

A Novel Dynamic Android Malware Detection System With Ensemble Learning

(2018) Pengbin Feng et al.   IEEE Access

Plant spectral diversity integrates functional and phylogenetic components of biodiversity and predicts ecosystem function

(2018) Anna K. Schweiger et al.   Nature Ecology & Evolution

Machine Learning Using Hyperspectral Data Inaccurately Predicts Plant Traits Under Spatial Dependency

(2018) Alby Rocha et al.   Remote Sensing

Response to Nitrogen Deficiency and Compensation on Physiological Characteristics, Yield Formation, and Nitrogen Utilization of Rice

(2018) Qiangqiang Xiong et al.   Frontiers in Plant Science

Determining the best drought tolerance indices using artificial neural network (ANN): Insight into application of intelligent agriculture in agronomy and plant breeding

(2018) A. Etminan et al.   CEREAL RESEARCH COMMUNICATIONS

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

(2018) Vahid Nourani et al.   WATER SCIENCE AND TECHNOLOGY

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

(2018) Amit Kumar Verma et al.   Geocarto International

An ensemble learning framework for anomaly detection in building energy consumption

(2017) Daniel B. Araya et al.   ENERGY AND BUILDINGS

Predicting grain yield using canopy hyperspectral reflectance in wheat breeding data

(2017) Osval A. Montesinos-López et al.   Plant Methods

Application of Multilayer Perceptron with Automatic Relevance Determination on Weed Mapping Using UAV Multispectral Imagery

(2017) Afroditi Tamouridou et al.   SENSORS

Prediction of the aquatic toxicity of aromatic compounds to tetrahymena pyriformis through support vector regression

(2017) Qiang Su et al.   Oncotarget

Detection of Flavescence dorée Grapevine Disease Using Unmanned Aerial Vehicle (UAV) Multispectral Imagery

(2017) Johanna Albetis et al.   Remote Sensing

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

(2016) Mohammad Ali Ghorbani et al.   Environmental Earth Sciences

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

(2016) Ronny Richter et al.   International Journal of Applied Earth Observation and Geoinformation

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

(2016) Maxime Taillardat et al.   MONTHLY WEATHER REVIEW

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

(2016) Guangqin Cai et al.   Scientific Reports

Canopy Temperature and Vegetation Indices from High-Throughput Phenotyping Improve Accuracy of Pedigree and Genomic Selection for Grain Yield in Wheat

(2016) Jessica Rutkoski et al.   G3-Genes Genomes Genetics

Assessing the Spatial Variability of Alfalfa Yield Using Satellite Imagery and Ground-Based Data

(2016) Ahmed G. Kayad et al.   PLoS One

Heat waves imposed during early pod development in soybean (Glycine max) cause significant yield loss despite a rapid recovery from oxidative stress

(2015) Matthew H. Siebers et al.   GLOBAL CHANGE BIOLOGY

Comparison of different regression models and validation techniques for the assessment of wheat leaf area index from hyperspectral data

(2015) Bastian Siegmann et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Building Predictive Models inRUsing thecaretPackage

(2015) Max Kuhn   Journal of Statistical Software

Genome-wide association study for backfat thickness in Canchim beef cattle using Random Forest approach

(2013) Fabiana Mokry et al.   BMC GENETICS

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

(2013) Sabrina Carvalho et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Long-term SPI drought forecasting in the Awash River Basin in Ethiopia using wavelet neural network and wavelet support vector regression models

(2013) A. Belayneh et al.   JOURNAL OF HYDROLOGY

Field high-throughput phenotyping: the new crop breeding frontier

(2013) José Luis Araus et al.   TRENDS IN PLANT SCIENCE

Applying Neural Networks to Hyperspectral and Multispectral Field Data for Discrimination of Cruciferous Weeds in Winter Crops

(2012) Ana-Isabel de Castro et al.   TheScientificWorldJOURNAL

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

(2011) M. Galar et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND RE

Solutions for a cultivated planet

(2011) Jonathan A. Foley et al.   NATURE

Phenomics – technologies to relieve the phenotyping bottleneck

(2011) Robert T. Furbank et al.   TRENDS IN PLANT SCIENCE

Crops that feed the World 2. Soybean—worldwide production, use, and constraints caused by pathogens and pests

(2011) Glen L. Hartman et al.   Food Security

Agronomic and physiological contributions to the yield improvement of soybean cultivars released from 1950 to 2006 in Northeast China

(2009) Jian Jin et al.   FIELD CROPS RESEARCH

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

(2009) Yongni Shao et al.   Food and Bioprocess Technology

Validation of artificial neural network techniques in the estimation of nitrogen concentration in rape using canopy hyperspectral reflectance data

(2009) Yuan Wang et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Optimal feature selection for support vector machines

(2009) Minh Hoai Nguyen et al.   PATTERN RECOGNITION

Beneficial Biofuels--The Food, Energy, and Environment Trilemma

(2009) D. Tilman et al.   SCIENCE

Quantitative Trait Loci and Crop Performance under Abiotic Stress: Where Do We Stand?

(2008) N. C. Collins et al.   PLANT PHYSIOLOGY

ParLeS: Software for chemometric analysis of spectroscopic data

(2007) Raphael A. Viscarra Rossel   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Principal component analysis for data containing outliers and missing elements

(2007) Sven Serneels et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Feature selection for the SVM: An application to hypertension diagnosis

(2006) Chao-Ton Su et al.   EXPERT SYSTEMS WITH APPLICATIONS