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A Machine-Learning Model Based on the Fusion of Spectral and Textural Features from UAV Multi-Sensors to Analyse the Total Nitrogen Content in Winter Wheat

Remote sensing (Basel, Switzerland), 2023-04, Vol.15 (8), p.2152

2023

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Combining novel feature selection strategy and hyperspectral vegetation indices to predict crop yield

Plant methods, 2022-11, Vol.18 (1), p.1-119, Article 119

2022

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

Remote sensing (Basel, Switzerland), 2021-06, Vol.13 (12), p.2338

2021

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Improved estimation of canopy water status in maize using UAV-based digital and hyperspectral images

Computers and electronics in agriculture, 2022-06, Vol.197, p.106982, Article 106982

2022

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Entropy Weight Ensemble Framework for Yield Prediction of Winter Wheat Under Different Water Stress Treatments Using Unmanned Aerial Vehicle-Based Multispectral and Thermal Data

Frontiers in plant science, 2021-12, Vol.12, p.730181-730181

2021

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Enhancing Wheat Above-Ground Biomass Estimation Using UAV RGB Images and Machine Learning: Multi-Feature Combinations, Flight Height, and Algorithm Implications

Remote sensing (Basel, Switzerland), 2023-07, Vol.15 (14), p.3653

2023

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Estimation of Maize LAI Using Ensemble Learning and UAV Multispectral Imagery under Different Water and Fertilizer Treatments

Agriculture (Basel), 2022-08, Vol.12 (8), p.1267

2022

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Application of UAV Multisensor Data and Ensemble Approach for High-Throughput Estimation of Maize Phenotyping Traits

Plant phenomics, 2022-01, Vol.2022, p.9802585-9802585

2022

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Deep Learning Models Outperform Generalized Machine Learning Models in Predicting Winter Wheat Yield Based on Multispectral Data from Drones

Drones (Basel), 2023-08, Vol.7 (8), p.505

2023

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Estimation of Nitrogen Content in Winter Wheat Based on Multi-Source Data Fusion and Machine Learning

Agriculture (Basel), 2022-11, Vol.12 (11), p.1752

2022

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Stacking of Canopy Spectral Reflectance from Multiple Growth Stages Improves Grain Yield Prediction under Full and Limited Irrigation in Wheat

Remote sensing (Basel, Switzerland), 2022-09, Vol.14 (17), p.4318

2022

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The Importance of Using Realistic 3D Canopy Models to Calculate Light Interception in the Field

Plant phenomics, 2023, Vol.5, p.0082-0082

2023

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Bayesian model averaging to improve the yield prediction in wheat breeding trials

Agricultural and forest meteorology, 2023-01, Vol.328, p.109237, Article 109237

2023

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MLR-based feature splitting regression for estimating plant traits using high-dimensional hyperspectral reflectance data

Field crops research, 2023-03, Vol.293, p.108855, Article 108855

2023

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Dual sampling linear regression ensemble to predict wheat yield across growing seasons with hyperspectral sensing

Computers and electronics in agriculture, 2024-01, Vol.216, p.108514, Article 108514

2024

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UAV-based multi-sensor data fusion and machine learning algorithm for yield prediction in wheat

Precision agriculture, 2023-02, Vol.24 (1), p.187-212

2023

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Improved random patches and model transfer for deriving leaf mass per area across multispecies from spectral reflectance

Computers and electronics in agriculture, 2024-03, Vol.218, Article 108745

2024

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CatBoost algorithm for estimating maize above-ground biomass using unmanned aerial vehicle-based multi-source sensor data and SPAD values

Computers and electronics in agriculture, 2023-11, Vol.214, p.108306, Article 108306

2023

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Application of multi-layer neural network and hyperspectral reflectance in genome-wide association study for grain yield in bread wheat

Field crops research, 2022-12, Vol.289, p.108730, Article 108730

2022

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3D reconstruction and characterization of cotton bolls in situ based on UVA technology

ISPRS journal of photogrammetry and remote sensing, 2024-03, Vol.209, p.101-116

2024

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3D reconstruction and characterization of cotton bolls in situ based on UAV technology

ISPRS journal of photogrammetry and remote sensing, 2024-03, Vol.209, p.101-116

2024

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Enhancing leaf area index and biomass estimation in maize with feature augmentation from unmanned aerial vehicle-based nadir and cross-circling oblique photography

Computers and electronics in agriculture, 2023-12, Vol.215, p.108462, Article 108462

2023

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Improving soybean yield prediction by integrating UAV nadir and cross-circling oblique imaging

European journal of agronomy, 2024-04, Vol.155, Article 127134

2024

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Fine mapping and characterization of a major QTL for grain weight on wheat chromosome arm 5DL

Theoretical and applied genetics, 2022-09, Vol.135 (9), p.3237-3246

2022

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Fine mapping of reduced height locus RHT26 in common wheat

Theoretical and applied genetics, 2023-03, Vol.136 (3), p.62-62, Article 62

2023

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A Machine-Learning Model Based on the Fusion of Spectral and Textural Features from UAV Multi-Sensors to Analyse the Total Nitrogen Content in Winter Wheat

Combining novel feature selection strategy and hyperspectral vegetation indices to predict crop yield

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

Improved estimation of canopy water status in maize using UAV-based digital and hyperspectral images

Entropy Weight Ensemble Framework for Yield Prediction of Winter Wheat Under Different Water Stress Treatments Using Unmanned Aerial Vehicle-Based Multispectral and Thermal Data

Enhancing Wheat Above-Ground Biomass Estimation Using UAV RGB Images and Machine Learning: Multi-Feature Combinations, Flight Height, and Algorithm Implications

Estimation of Maize LAI Using Ensemble Learning and UAV Multispectral Imagery under Different Water and Fertilizer Treatments

Application of UAV Multisensor Data and Ensemble Approach for High-Throughput Estimation of Maize Phenotyping Traits

Deep Learning Models Outperform Generalized Machine Learning Models in Predicting Winter Wheat Yield Based on Multispectral Data from Drones

Estimation of Nitrogen Content in Winter Wheat Based on Multi-Source Data Fusion and Machine Learning

Stacking of Canopy Spectral Reflectance from Multiple Growth Stages Improves Grain Yield Prediction under Full and Limited Irrigation in Wheat

The Importance of Using Realistic 3D Canopy Models to Calculate Light Interception in the Field

Bayesian model averaging to improve the yield prediction in wheat breeding trials

MLR-based feature splitting regression for estimating plant traits using high-dimensional hyperspectral reflectance data

Dual sampling linear regression ensemble to predict wheat yield across growing seasons with hyperspectral sensing

UAV-based multi-sensor data fusion and machine learning algorithm for yield prediction in wheat

Improved random patches and model transfer for deriving leaf mass per area across multispecies from spectral reflectance

CatBoost algorithm for estimating maize above-ground biomass using unmanned aerial vehicle-based multi-source sensor data and SPAD values

Application of multi-layer neural network and hyperspectral reflectance in genome-wide association study for grain yield in bread wheat

3D reconstruction and characterization of cotton bolls in situ based on UVA technology

3D reconstruction and characterization of cotton bolls in situ based on UAV technology

Enhancing leaf area index and biomass estimation in maize with feature augmentation from unmanned aerial vehicle-based nadir and cross-circling oblique photography

Improving soybean yield prediction by integrating UAV nadir and cross-circling oblique imaging

Fine mapping and characterization of a major QTL for grain weight on wheat chromosome arm 5DL

Fine mapping of reduced height locus RHT26 in common wheat

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