An ensemble machine learning approach for determination of the optimum sampling time for evapotranspiration assessment from high-throughput phenotyping data

High-resolution digital phenotyping of water uptake and transpiration efficiency

(2020) Andreas Stahl et al.   TRENDS IN PLANT SCIENCE

Moisture content estimation of Pinus radiata and Eucalyptus globulus from reconstructed leaf reflectance in the SWIR region

(2020) Tito Arevalo-Ramirez et al.   BIOSYSTEMS ENGINEERING

Pattern Recognition of Single-Channel sEMG Signal Using PCA and ANN Method to Classify Nine Hand Movements

(2020) Moh Arozi et al.   Symmetry-Basel

Support vector machine enhanced empirical reference evapotranspiration estimation with limited meteorological parameters

(2020) Min Yan Chia et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Automated discretization of ‘transpiration restriction to increasing VPD’ features from outdoors high-throughput phenotyping data

(2020) Soumyashree Kar et al.   Plant Methods

Estimation of reference evapotranspiration in Brazil with limited meteorological data using ANN and SVM – A new approach

(2019) Lucas Borges Ferreira et al.   JOURNAL OF HYDROLOGY

Random forest techniques for spatial interpolation of evapotranspiration data from Brazilian’s Northeast

(2019) José Clodoalves da Silva Júnior et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

A novel decomposition‐ensemble model for forecasting short‐term load‐time series with multiple seasonal patterns

(2018) Xiaobo Zhang et al.   APPLIED SOFT COMPUTING

Integrating modelling and phenotyping approaches to identify and screen complex traits: transpiration efficiency in cereals

(2018) K Chenu et al.   JOURNAL OF EXPERIMENTAL BOTANY

Univariate Time Series Forecasting of Temperature and Precipitation with a Focus on Machine Learning Algorithms: a Multiple-Case Study from Greece

(2018) Georgia Papacharalampous et al.   WATER RESOURCES MANAGEMENT

The advantages of functional phenotyping in pre-field screening for drought-tolerant crops

(2017) Boaz Negin et al.   FUNCTIONAL PLANT BIOLOGY

Field Scanalyzer: An automated robotic field phenotyping platform for detailed crop monitoring

(2017) Nicolas Virlet et al.   FUNCTIONAL PLANT BIOLOGY

High-throughput physiological phenotyping and screening system for the characterization of plant-environment interactions

(2017) Ofer Halperin et al.   PLANT JOURNAL

Shoot traits and their relevance in terminal drought tolerance of chickpea ( Cicer arietinum L.)

(2016) Purushothaman Ramamoorthy et al.   FIELD CROPS RESEARCH

Machine Learning for High-Throughput Stress Phenotyping in Plants

(2016) Arti Singh et al.   TRENDS IN PLANT SCIENCE

Investigating the performance of support vector machine and artificial neural networks in predicting solar radiation on a tilted surface: Saudi Arabia case study

(2015) Makbul A.M. Ramli et al.   ENERGY CONVERSION AND MANAGEMENT

LeasyScan: a novel concept combining 3D imaging and lysimetry for high-throughput phenotyping of traits controlling plant water budget

(2015) Vincent Vadez et al.   JOURNAL OF EXPERIMENTAL BOTANY

Medium Range Daily Reference Evapotranspiration Forecasting by Using ANN and Public Weather Forecasts

(2015) Yufeng Luo et al.   WATER RESOURCES MANAGEMENT

Water: the most important ‘molecular’ component of water stress tolerance research

(2013) Vincent Vadez et al.   FUNCTIONAL PLANT BIOLOGY

Modified multiscale entropy for short-term time series analysis

(2013) Shuen-De Wu et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

Field high-throughput phenotyping: the new crop breeding frontier

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

Phenotyping for drought tolerance in grain crops: when is it useful to breeders?

(2012) J. B. Passioura   FUNCTIONAL PLANT BIOLOGY

Dynamic Random Forests

(2012) Simon Bernard et al.   PATTERN RECOGNITION LETTERS

Integrated genomics, physiology and breeding approaches for improving drought tolerance in crops

(2012) Reyazul Rouf Mir et al.   THEORETICAL AND APPLIED GENETICS

Chickpea genotypes contrasting for seed yield under terminal drought stress in the field differ for traits related to the control of water use

(2011) Mainassara Zaman-Allah et al.   FUNCTIONAL PLANT BIOLOGY

On Similarity Preserving Feature Selection

(2011) Zheng Zhao et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Tuning the parameters of an artificial neural network using central composite design and genetic algorithm

(2011) M. Bashiri et al.   Scientia Iranica

An Empirical Comparison of Machine Learning Models for Time Series Forecasting

(2010) Nesreen K. Ahmed et al.   Econometric Reviews

A hybrid neural network and ARIMA model for water quality time series prediction

(2009) Durdu Ömer Faruk   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Time Series Prediction Using Support Vector Machines: A Survey

(2009) Nicholas Sapankevych et al.   IEEE Computational Intelligence Magazine

A systematic analysis of performance measures for classification tasks

(2009) Marina Sokolova et al.   INFORMATION PROCESSING & MANAGEMENT

Design of River Water Quality Monitoring Networks: A Case Study

(2008) Mohammad Karamouz et al.   ENVIRONMENTAL MODELING & ASSESSMENT

Design of on-line river water quality monitoring systems using the entropy theory: a case study

(2008) Mohammad Karamouz et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

An experimental comparison of performance measures for classification

(2008) C. Ferri et al.   PATTERN RECOGNITION LETTERS