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Improved estimation of rice aboveground biomass combining textural and spectral analysis of UAV imagery

Precision agriculture, 2019-06, Vol.20 (3), p.611-629

2019

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Combining Unmanned Aerial Vehicle (UAV)-Based Multispectral Imagery and Ground-Based Hyperspectral Data for Plant Nitrogen Concentration Estimation in Rice

Frontiers in plant science, 2018-07, Vol.9, p.936-936

2018

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Evaluation of RGB, Color-Infrared and Multispectral Images Acquired from Unmanned Aerial Systems for the Estimation of Nitrogen Accumulation in Rice

Remote sensing (Basel, Switzerland), 2018-06, Vol.10 (6), p.824

2018

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Combining Color Indices and Textures of UAV-Based Digital Imagery for Rice LAI Estimation

Remote sensing (Basel, Switzerland), 2019-08, Vol.11 (15), p.1763

2019

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A Comparative Assessment of Different Modeling Algorithms for Estimating Leaf Nitrogen Content in Winter Wheat Using Multispectral Images from an Unmanned Aerial Vehicle

Remote sensing (Basel, Switzerland), 2018-12, Vol.10 (12), p.2026

2018

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Assessing the Impact of Spatial Resolution on the Estimation of Leaf Nitrogen Concentration Over the Full Season of Paddy Rice Using Near-Surface Imaging Spectroscopy Data

Frontiers in plant science, 2018-07, Vol.9, p.964-964

2018

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Enhancing the Nitrogen Signals of Rice Canopies across Critical Growth Stages through the Integration of Textural and Spectral Information from Unmanned Aerial Vehicle (UAV) Multispectral Imagery

Remote sensing (Basel, Switzerland), 2020-03, Vol.12 (6), p.957

2020

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DESTIN: A new method for delineating the boundaries of crop fields by fusing spatial and temporal information from WorldView and Planet satellite imagery

Computers and electronics in agriculture, 2020-11, Vol.178, p.105787, Article 105787

2020

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Estimation of area- and mass-based leaf nitrogen contents of wheat and rice crops from water-removed spectra using continuous wavelet analysis

Plant methods, 2018-08, Vol.14 (1), p.76-76, Article 76

2018

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Assessing the Sensitivity of Semiempirical Models to Spectral Data Quality and Sensor Settings When Estimating Leaf Chlorophyll Content

IEEE journal of selected topics in applied earth observations and remote sensing, 2024, Vol.17, p.4062-4070

2024

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Estimation of Canopy Biomass Components in Paddy Rice from Combined Optical and SAR Data Using Multi-Target Gaussian Regressor Stacking

Remote sensing (Basel, Switzerland), 2020-08, Vol.12 (16), p.2564

2020

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Analysis and Evaluation of the Image Preprocessing Process of a Six-Band Multispectral Camera Mounted on an Unmanned Aerial Vehicle for Winter Wheat Monitoring

Sensors (Basel, Switzerland), 2019-02, Vol.19 (3), p.747

2019

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Using an Active-Optical Sensor to Develop an Optimal NDVI Dynamic Model for High-Yield Rice Production (Yangtze, China)

Sensors (Basel, Switzerland), 2017-03, Vol.17 (4), p.672

2017

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Comparison of two novel methods for counting wheat ears in the field with terrestrial LiDAR

Plant methods, 2023-11, Vol.19 (1), p.1-134, Article 134

2023

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Hyperspectral Reflectance Proxies to Diagnose In-Field Fusarium Head Blight in Wheat with Machine Learning

Remote sensing (Basel, Switzerland), 2022-06, Vol.14 (12), p.2784

2022

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AAVI: A Novel Approach to Estimating Leaf Nitrogen Concentration in Rice From Unmanned Aerial Vehicle Multispectral Imagery at Early and Middle Growth Stages

IEEE journal of selected topics in applied earth observations and remote sensing, 2021, Vol.14, p.6716-6728

2021

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Fusarium head blight monitoring in wheat ears using machine learning and multimodal data from asymptomatic to symptomatic periods

Frontiers in plant science, 2023-01, Vol.13, p.1102341-1102341

2023

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Combining Remote Sensing and Meteorological Data for Improved Rice Plant Potassium Content Estimation

Remote sensing (Basel, Switzerland), 2021-09, Vol.13 (17), p.3502

2021

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SPSI: A Novel Composite Index for Estimating Panicle Number in Winter Wheat before Heading from UAV Multispectral Imagery

Plant phenomics, 2023, Vol.5, p.0087-0087

2023

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Transferability of Models for Predicting Rice Grain Yield from Unmanned Aerial Vehicle (UAV) Multispectral Imagery across Years, Cultivars and Sensors

Drones (Basel), 2022-12, Vol.6 (12), p.423

2022

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Estimation of nitrogen fertilizer requirement for rice crop using critical nitrogen dilution curve

Field crops research, 2017-02, Vol.201, p.32-40

2017

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Detection of rice phenology through time series analysis of ground-based spectral index data

Field crops research, 2016-11, Vol.198, p.131-139

2016

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Improved estimation of leaf chlorophyll content of row crops from canopy reflectance spectra through minimizing canopy structural effects and optimizing off-noon observation time

Remote sensing of environment, 2020-10, Vol.248, p.111985, Article 111985

2020

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Early season detection of rice plants using RGB, NIR-G-B and multispectral images from unmanned aerial vehicle (UAV)

Computers and electronics in agriculture, 2020-02, Vol.169, p.105223, Article 105223

2020

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An assessment of background removal approaches for improved estimation of rice leaf nitrogen concentration with unmanned aerial vehicle multispectral imagery at various observation times

Field crops research, 2022-07, Vol.283, p.108543, Article 108543

2022

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Improved estimation of rice aboveground biomass combining textural and spectral analysis of UAV imagery

Combining Unmanned Aerial Vehicle (UAV)-Based Multispectral Imagery and Ground-Based Hyperspectral Data for Plant Nitrogen Concentration Estimation in Rice

Evaluation of RGB, Color-Infrared and Multispectral Images Acquired from Unmanned Aerial Systems for the Estimation of Nitrogen Accumulation in Rice

Combining Color Indices and Textures of UAV-Based Digital Imagery for Rice LAI Estimation

A Comparative Assessment of Different Modeling Algorithms for Estimating Leaf Nitrogen Content in Winter Wheat Using Multispectral Images from an Unmanned Aerial Vehicle

Assessing the Impact of Spatial Resolution on the Estimation of Leaf Nitrogen Concentration Over the Full Season of Paddy Rice Using Near-Surface Imaging Spectroscopy Data

Enhancing the Nitrogen Signals of Rice Canopies across Critical Growth Stages through the Integration of Textural and Spectral Information from Unmanned Aerial Vehicle (UAV) Multispectral Imagery

DESTIN: A new method for delineating the boundaries of crop fields by fusing spatial and temporal information from WorldView and Planet satellite imagery

Estimation of area- and mass-based leaf nitrogen contents of wheat and rice crops from water-removed spectra using continuous wavelet analysis

Assessing the Sensitivity of Semiempirical Models to Spectral Data Quality and Sensor Settings When Estimating Leaf Chlorophyll Content

Estimation of Canopy Biomass Components in Paddy Rice from Combined Optical and SAR Data Using Multi-Target Gaussian Regressor Stacking

Analysis and Evaluation of the Image Preprocessing Process of a Six-Band Multispectral Camera Mounted on an Unmanned Aerial Vehicle for Winter Wheat Monitoring

Using an Active-Optical Sensor to Develop an Optimal NDVI Dynamic Model for High-Yield Rice Production (Yangtze, China)

Comparison of two novel methods for counting wheat ears in the field with terrestrial LiDAR

Hyperspectral Reflectance Proxies to Diagnose In-Field Fusarium Head Blight in Wheat with Machine Learning

AAVI: A Novel Approach to Estimating Leaf Nitrogen Concentration in Rice From Unmanned Aerial Vehicle Multispectral Imagery at Early and Middle Growth Stages

Fusarium head blight monitoring in wheat ears using machine learning and multimodal data from asymptomatic to symptomatic periods

Combining Remote Sensing and Meteorological Data for Improved Rice Plant Potassium Content Estimation

SPSI: A Novel Composite Index for Estimating Panicle Number in Winter Wheat before Heading from UAV Multispectral Imagery

Transferability of Models for Predicting Rice Grain Yield from Unmanned Aerial Vehicle (UAV) Multispectral Imagery across Years, Cultivars and Sensors

Estimation of nitrogen fertilizer requirement for rice crop using critical nitrogen dilution curve

Detection of rice phenology through time series analysis of ground-based spectral index data

Improved estimation of leaf chlorophyll content of row crops from canopy reflectance spectra through minimizing canopy structural effects and optimizing off-noon observation time

Early season detection of rice plants using RGB, NIR-G-B and multispectral images from unmanned aerial vehicle (UAV)

An assessment of background removal approaches for improved estimation of rice leaf nitrogen concentration with unmanned aerial vehicle multispectral imagery at various observation times

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