UAV-Based Hyperspectral and Ensemble Machine Learning for Predicting Yield in Winter Wheat

Estimating carbon isotope discrimination and grain yield of bread wheat grown under water-limited and full irrigation conditions by hyperspectral canopy reflectance and multilinear regression analysis

(2021) Miguel Garriga et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

UAV-Based Hyperspectral Imaging Technique to Estimate Canola (Brassica napus L.) Seedpods Maturity

(2021) Keshav D. Singh et al.   CANADIAN JOURNAL OF REMOTE SENSING

Early prediction of biomass in hybrid rye based on hyperspectral data surpasses genomic predictability in less-related breeding material

(2021) Rodrigo José Galán et al.   THEORETICAL AND APPLIED GENETICS

Using the Boruta algorithm and deep learning models for mapping land susceptibility to atmospheric dust emissions in Iran

(2021) Hamid Gholami et al.   Aeolian Research

HER2 Molecular Marker Scoring Using Transfer Learning and Decision Level Fusion

(2021) Suman Tewary et al.   JOURNAL OF DIGITAL IMAGING

Combining Thermal and RGB Imaging Indices with Multivariate and Data-Driven Modeling to Estimate the Growth, Water Status, and Yield of Potato under Different Drip Irrigation Regimes

(2021) Salah Elsayed et al.   Remote Sensing

Applications of Gaussian process regression for predicting blue water footprint: Case study in Ad Daqahliyah, Egypt

(2021) Ahmed Elbeltagi et al.   AGRICULTURAL WATER MANAGEMENT

Prediction of solar energy guided by pearson correlation using machine learning

(2021) Imane Jebli et al.   ENERGY

A machine learning algorithm to detect pine wilt disease using UAV-based hyperspectral imagery and LiDAR data at the tree level

(2021) Run Yu et al.   International Journal of Applied Earth Observation and Geoinformation

Multi-Sensor and Decision-Level Fusion-Based Structural Damage Detection Using a One-Dimensional Convolutional Neural Network

(2021) Shuai Teng et al.   SENSORS

Vision-Based Tunnel Lining Health Monitoring via Bi-Temporal Image Comparison and Decision-Level Fusion of Change Maps

(2021) Leanne Attard et al.   SENSORS

An entirely new approach based on remote sensing data to calculate the nitrogen nutrition index of winter wheat

(2021) Yu ZHAO et al.   Journal of Integrative Agriculture

Estimation of Paddy Rice Nitrogen Content and Accumulation Both at Leaf and Plant Levels from UAV Hyperspectral Imagery

(2021) Li Wang et al.   Remote Sensing

Assessment of Ensemble Learning to Predict Wheat Grain Yield Based on UAV-Multispectral Reflectance

(2021) Shuaipeng Fei et al.   Remote Sensing

Using UAV-Based Hyperspectral Imagery to Detect Winter Wheat Fusarium Head Blight

(2021) Huiqin Ma et al.   Remote Sensing

Wood Species Recognition Based on Visible and Near-Infrared Spectral Analysis Using Fuzzy Reasoning and Decision-Level Fusion

(2021) Peng Zhao et al.   Journal of Spectroscopy

Potential of water balance and remote sensing-based evapotranspiration models to predict yields of spring barley and winter wheat in the Czech Republic

(2021) František Jurečka et al.   AGRICULTURAL WATER MANAGEMENT

Gaussian process regression-based learning rate optimization in convolutional neural networks for medical images classification

(2021) Yuanyuan Li et al.   EXPERT SYSTEMS WITH APPLICATIONS

Estimating mangrove leaf area index based on red-edge vegetation indices: A comparison among UAV, WorldView-2 and Sentinel-2 imagery

(2021) Xianxian Guo et al.   International Journal of Applied Earth Observation and Geoinformation

Canopy hyperspectral characteristics and yield estimation of winter wheat (Triticum aestivum) under low temperature injury

(2020) Yongkai Xie et al.   Scientific Reports

Above-ground biomass estimation and yield prediction in potato by using UAV-based RGB and hyperspectral imaging

(2020) Bo Li et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Integration of genotypic, hyperspectral, and phenotypic data to improve biomass yield prediction in hybrid rye

(2020) Rodrigo José Galán et al.   THEORETICAL AND APPLIED GENETICS

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

(2020) Luwei Feng et al.   Remote Sensing

Estimation of winter-wheat above-ground biomass using the wavelet analysis of unmanned aerial vehicle-based digital images and hyperspectral crop canopy images

(2020) Jibo Yue et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Mapping winter-wheat biomass and grain yield based on a crop model and UAV remote sensing

(2020) Jibo Yue et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Predicting within-field variability in grain yield and protein content of winter wheat using UAV-based multispectral imagery and machine learning approaches

(2020) Xinbin Zhou et al.   PLANT PRODUCTION SCIENCE

Robust low-rank multiple kernel learning with compound regularization

(2020) He Jiang et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Integrating satellite imagery and environmental data to predict field-level cane and sugar yields in Australia using machine learning

(2020) Yuri Shendryk et al.   FIELD CROPS RESEARCH

Machine Learning-Based Ensemble Prediction of Water-quality Variables Using Feature-level and Decision-level Fusion with Proximal Remote Sensing

(2019) Kyle T. Peterson et al.   PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING

Weekly soil moisture forecasting with multivariate sequential, ensemble empirical mode decomposition and Boruta-random forest hybridizer algorithm approach

(2019) Ramendra Prasad et al.   CATENA

Leaf chlorophyll content retrieval of wheat by simulated RapidEye, Sentinel-2 and EnMAP data

(2019) Bei CUI et al.   Journal of Integrative Agriculture

Estimating canopy LAI and chlorophyll of tropical forest plantation (North India) using Sentinel-2 data

(2019) Hitendra Padalia et al.   ADVANCES IN SPACE RESEARCH

Establishment of Plot-Yield Prediction Models in Soybean Breeding Programs Using UAV-Based Hyperspectral Remote Sensing

(2019) Xiaoyan Zhang et al.   Remote Sensing

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

Wheat leaf rust detection at canopy scale under different LAI levels using machine learning techniques

(2018) Mohsen Azadbakht et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Exploring the Potential of WorldView-2 Red-Edge Band-Based Vegetation Indices for Estimation of Mangrove Leaf Area Index with Machine Learning Algorithms

(2017) Yuanhui Zhu et al.   Remote Sensing

SENTINEL-2A red-edge spectral indices suitability for discriminating burn severity

(2016) Alfonso Fernández-Manso et al.   International Journal of Applied Earth Observation and Geoinformation

Predicting river daily flow using wavelet-artificial neural networks based on regression analyses in comparison with artificial neural networks and support vector machine models

(2016) Maryam Shafaei et al.   NEURAL COMPUTING & APPLICATIONS

A Novel Remote Sensing Approach for Prediction of Maize Yield Under Different Conditions of Nitrogen Fertilization

(2016) Omar Vergara-Díaz et al.   Frontiers in Plant Science

Reconstructing gene regulatory networks from knock-out data using Gaussian Noise Model and Pearson Correlation Coefficient

(2015) Faridah Hani Mohamed Salleh et al.   COMPUTATIONAL BIOLOGY AND CHEMISTRY

Kernel methods for heterogeneous feature selection

(2015) Jérôme Paul et al.   NEUROCOMPUTING

An Integrated Model for Robust Multisensor Data Fusion

(2014) Bo Shen et al.   SENSORS

Evaluating the Effect of Different Wheat Rust Disease Symptoms on Vegetation Indices Using Hyperspectral Measurements

(2014) Davoud Ashourloo et al.   Remote Sensing

Climate Change Impacts on Global Food Security

(2013) T. Wheeler et al.   SCIENCE

Estimation of nitrogen, phosphorus, and potassium contents in the leaves of different plants using laboratory-based visible and near-infrared reflectance spectroscopy: comparison of partial least-square regression and support vector machine regression methods

(2012) Yanfang Zhai et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Remote Sensing Leaf Chlorophyll Content Using a Visible Band Index

(2011) E. Raymond Hunt et al.   AGRONOMY JOURNAL

Methods for Identifying SNP Interactions: A Review on Variations of Logic Regression, Random Forest and Bayesian Logistic Regression

(2011) C. C. M. Chen et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

Use of field reflectance data for crop mapping using airborne hyperspectral image

(2011) Rama Rao Nidamanuri et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

An investigation into robust spectral indices for leaf chlorophyll estimation

(2011) Russell Main et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Machine learning regression algorithms for biophysical parameter retrieval: Opportunities for Sentinel-2 and -3

(2011) Jochem Verrelst et al.   REMOTE SENSING OF ENVIRONMENT

Comparison of airborne multispectral and hyperspectral imagery for mapping cotton root rot

(2010) Chenghai Yang et al.   BIOSYSTEMS ENGINEERING

Hybrid feature selection by combining filters and wrappers

(2010) Hui-Huang Hsu et al.   EXPERT SYSTEMS WITH APPLICATIONS

SWIR-based spectral indices for assessing nitrogen content in potato fields

(2010) I. Herrmann et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Estimating chlorophyll content from hyperspectral vegetation indices: Modeling and validation

(2008) Chaoyang Wu et al.   AGRICULTURAL AND FOREST METEOROLOGY

Calibration and validation of hyperspectral indices for the estimation of broadleaved forest leaf chlorophyll content, leaf mass per area, leaf area index and leaf canopy biomass

(2008) G LEMAIRE et al.   REMOTE SENSING OF ENVIRONMENT

Comparative Analysis of EO-1 ALI and Hyperion, and Landsat ETM+ Data for Mapping Forest Crown Closure and Leaf Area Index

(2008) Ruiliang Pu et al.   SENSORS