Related references
Note: Only part of the references are listed.Performance Assessment of Model Averaging Techniques to Reduce Structural Uncertainty of Groundwater Modeling
Ahmad Jafarzadeh et al.
WATER RESOURCES MANAGEMENT (2022)
A Comparison of Model Averaging Techniques to Predict the Spatial Distribution of Soil Properties
Ruhollah Taghizadeh-Mehrjardi et al.
REMOTE SENSING (2022)
Image Based High throughput Phenotyping for Fusarium Wilt Resistance in Pigeon Pea (Cajanus cajan)
Rudrappa K. Bannihatti et al.
PHYTOPARASITICA (2022)
Application of thermal and visible imaging to estimate stripe rust disease severity in wheat using supervised image classification methods
R. N. Singh et al.
ECOLOGICAL INFORMATICS (2022)
SelfMatch: Robust semisupervised time-series classification with self-distillation
Huanlai Xing et al.
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS (2022)
Monitoring Wheat Powdery Mildew Based on Hyperspectral, Thermal Infrared, and RGB Image Data Fusion
Ziheng Feng et al.
SENSORS (2022)
Understanding the ramifications of quantitative ordinal scales on accuracy of estimates of disease severity and data analysis in plant pathology
Kuo-Szu Chiang et al.
TROPICAL PLANT PATHOLOGY (2022)
Rice plant disease classification using color features: a machine learning paradigm
Vimal K. Shrivastava et al.
JOURNAL OF PLANT PATHOLOGY (2021)
Deep learning architectures for semantic segmentation and automatic estimation of severity of foliar symptoms caused by diseases or pests
Juliano P. Goncalves et al.
BIOSYSTEMS ENGINEERING (2021)
Estimation of nitrogen nutrition index in rice from UAV RGB images coupled with machine learning algorithms
Zhengchao Qiu et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2021)
Estimating the grassland aboveground biomass in the Three-River Headwater Region of China using machine learning and Bayesian model averaging
Na Zeng et al.
ENVIRONMENTAL RESEARCH LETTERS (2021)
Early detection of pine wilt disease using deep learning algorithms and UAV-based multispectral imagery
Run Yu et al.
FOREST ECOLOGY AND MANAGEMENT (2021)
Enhancing the accuracy of machine learning models using the super learner technique in digital soil mapping
Ruhollah Taghizadeh-Mehrjardi et al.
GEODERMA (2021)
A federated learning system with enhanced feature extraction for human activity recognition
Zhiwen Xiao et al.
KNOWLEDGE-BASED SYSTEMS (2021)
Estimating evapotranspiration by coupling Bayesian model averaging methods with machine learning algorithms
Yong Yang et al.
ENVIRONMENTAL MONITORING AND ASSESSMENT (2021)
Interactive effect of elevated tropospheric ozone and carbon dioxide on radiation utilisation, growth and yield of chickpea (Cicer arietinum L.)
R. N. Singh et al.
INTERNATIONAL JOURNAL OF BIOMETEOROLOGY (2021)
Analysis of New RGB Vegetation Indices for PHYVV and TMV Identification in Jalapeno Pepper (Capsicum annuum) Leaves Using CNNs-Based Model
Arturo Yee-Rendon et al.
PLANTS-BASEL (2021)
Spectroscopy based novel spectral indices, PCA- and PLSR-coupled machine learning models for salinity stress phenotyping of rice
Bappa Das et al.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY (2020)
Solar Radiation Estimation in Mediterranean Climate by Weather Variables Using a Novel Bayesian Model Averaging and Machine Learning Methods
Ozgur Kisi et al.
NEURAL PROCESSING LETTERS (2020)
Thermal imaging and multivariate techniques for characterizing and screening wheat genotypes under water stress condition
Koushik Banerjee et al.
ECOLOGICAL INDICATORS (2020)
Detection of banana plants and their major diseases through aerial images and machine learning methods: A case study in DR Congo and Republic of Benin
Michael Gomez Selvaraj et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2020)
From visual estimates to fully automated sensor-based measurements of plant disease severity: status and challenges for improving accuracy
Clive H. Bock et al.
PHYTOPATHOLOGY RESEARCH (2020)
Examination of Dimension Reduction Performances of PLSR and PCR Techniques in Data with Multicollinearity
Gamze Guven et al.
IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY TRANSACTION A-SCIENCE (2019)
Modeling maize above-ground biomass based on machine learning approaches using UAV remote-sensing data
Liang Han et al.
PLANT METHODS (2019)
High-throughput field phenotyping of Ascochyta blight disease severity in chickpea
Chongyuan Zhang et al.
CROP PROTECTION (2019)
A ranking system for comparing models' performance combining multiple statistical criteria and scenarios: The case of reference evapotranspiration models
V. G. Aschonitis et al.
ENVIRONMENTAL MODELLING & SOFTWARE (2019)
Machine learning approaches for crop yield prediction and nitrogen status estimation in precision agriculture: A review
Anna Chlingaryan et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2018)
Evaluating Late Blight Severity in Potato Crops Using Unmanned Aerial Vehicles and Machine Learning Algorithms
Julio M. Duarte-Carvajalino et al.
REMOTE SENSING (2018)
Evaluation of digital soil mapping approaches with large sets of environmental covariates
Madlene Nussbaum et al.
SOIL (2018)
A discussion on disease severity index values. Part I: warning on inherent errors and suggestions to maximise accuracy
K. S. Chiang et al.
ANNALS OF APPLIED BIOLOGY (2017)
An Investigation Into Machine Learning Regression Techniques for the Leaf Rust Disease Detection Using Hyperspectral Measurement
Davoud Ashourloo et al.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2016)
Plant Disease Detection by Imaging Sensors - Parallels and Specific Demands for Precision Agriculture and Plant Phenotyping
Anne-Katrin Mahlein
PLANT DISEASE (2016)
Early Detection and Quantification of Almond Red Leaf Blotch Using High-Resolution Hyperspectral and Thermal Imagery
Manuel Lopez-Lopez et al.
REMOTE SENSING (2016)
Detecting creeping thistle in sugar beet fields using vegetation indices
Wajahat Kazmi et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2015)
Is there an optimal forecast combination?
Cheng Hsiao et al.
JOURNAL OF ECONOMETRICS (2014)
Developing Two Spectral Disease Indices for Detection of Wheat Leaf Rust (Pucciniatriticina)
Davoud Ashourloo et al.
REMOTE SENSING (2014)
An empirical comparison of alternative schemes for combining electricity spot price forecasts
Jakub Nowotarski et al.
ENERGY ECONOMICS (2014)
Estimation of rice growth and nitrogen nutrition status using color digital camera image analysis
Kyu-Jong Lee et al.
EUROPEAN JOURNAL OF AGRONOMY (2013)
Support Vector Machines for crop/weeds identification in maize fields
J. M. Guerrero et al.
EXPERT SYSTEMS WITH APPLICATIONS (2012)
Automatic segmentation of relevant textures in agricultural images
M. Guijarro et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2011)
Real-time image processing for crop/weed discrimination in maize fields
Xavier P. Burgos-Artizzu et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2011)
Comparison among principal component, partial least squares and back propagation neural network analyses for accuracy of measurement of selected soil properties with visible and near infrared spectroscopy
A. M. Mouazen et al.
GEODERMA (2010)
Regularization Paths for Generalized Linear Models via Coordinate Descent
Jerome Friedman et al.
JOURNAL OF STATISTICAL SOFTWARE (2010)
Simple robust averages of forecasts: Some empirical results
Victor Richmond R. Jose et al.
INTERNATIONAL JOURNAL OF FORECASTING (2008)
Model evaluation guidelines for systematic quantification of accuracy in watershed simulations
D. N. Moriasi et al.
TRANSACTIONS OF THE ASABE (2007)
Classification of ponds from high-spatial resolution remote sensing: Application to Rift Valley Fever epidemics in Senegal
J. P. Lacaux et al.
REMOTE SENSING OF ENVIRONMENT (2007)
Automated crop and weed monitoring in widely spaced cereals
T. Hague et al.
PRECISION AGRICULTURE (2006)
A digital camera as a tool to measure colour indices and related properties of sandy soils in semi-arid environments
N Levin et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2005)
Intensified fuzzy clusters for classifying plant, soil, and residue regions of interest from color images
GE Meyer et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2004)
Using remote sensing to determine of the date of a fungicide application on winter wheat
H Nicolas
CROP PROTECTION (2004)
Optimal forecast combinations under general loss functions and forecast error distributions
G Elliott et al.
JOURNAL OF ECONOMETRICS (2004)
Novel algorithms for remote estimation of vegetation fraction
AA Gitelson et al.
REMOTE SENSING OF ENVIRONMENT (2002)
Stochastic gradient boosting
JH Friedman
COMPUTATIONAL STATISTICS & DATA ANALYSIS (2002)
Color image segmentation: advances and prospects
HD Cheng et al.
PATTERN RECOGNITION (2001)
A new family of power transformations to improve normality or symmetry
IK Yeo et al.
BIOMETRIKA (2000)
Share Paper
