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Remote Sensing and Precision Agriculture Technologies for Crop Disease Detection and Management with a Practical Application Example

Engineering (Beijing, China), 2020-05, Vol.6 (5), p.528-532

Yang, Chenghai

2020

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High resolution satellite imaging sensors for precision agriculture

Frontiers of Agricultural Science and Engineering, 2018-11, Vol.5 (4), p.393-405

YANG, Chenghai

2018

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A high-resolution airborne four-camera imaging system for agricultural remote sensing

Computers and electronics in agriculture, 2012-10, Vol.88, p.13-24

Yang, Chenghai

2012

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Extracellular vesicles of Fusobacterium nucleatum compromise intestinal barrier through targeting RIPK1-mediated cell death pathway

Gut microbes, 2021-01, Vol.13 (1), p.1-20

2021

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Automatic Estimation of Crop Disease Severity Levels Based on Vegetation Index Normalization

Remote sensing (Basel, Switzerland), 2020-06, Vol.12 (12), p.1930

2020

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Machine learning-based solution reveals cuproptosis features in inflammatory bowel disease

Frontiers in immunology, 2023-05, Vol.14, p.1136991-1136991

2023

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Editorial for Special Issue: “Recent Progress in UAV-AI Remote Sensing”

Remote sensing (Basel, Switzerland), 2023-09, Vol.15 (18), p.4382

2023

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Winter Wheat Nitrogen Estimation Based on Ground-Level and UAV-Mounted Sensors

Sensors (Basel, Switzerland), 2022-01, Vol.22 (2), p.549

2022

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Using High-Resolution Airborne and Satellite Imagery to Assess Crop Growth and Yield Variability for Precision Agriculture

Proceedings of the IEEE, 2013-03, Vol.101 (3), p.582-592

2013

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Evaluating high resolution SPOT 5 satellite imagery for crop identification

Computers and electronics in agriculture, 2011-02, Vol.75 (2), p.347-354

2011

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Soil and Crop Sensing for Precision Crop Production

1, 2022

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Rapeseed Seedling Stand Counting and Seeding Performance Evaluation at Two Early Growth Stages Based on Unmanned Aerial Vehicle Imagery

Frontiers in plant science, 2018-09, Vol.9, p.1362-1362

2018

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Crop Yield Estimation Based on Unsupervised Linear Unmixing of Multidate Hyperspectral Imagery

IEEE transactions on geoscience and remote sensing, 2013-01, Vol.51 (1), p.162-173

2013

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Monitoring cotton root rot by synthetic Sentinel-2 NDVI time series using improved spatial and temporal data fusion

Scientific reports, 2018-01, Vol.8 (1), p.2016-12, Article 2016

2018

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Automatic Classification of Cotton Root Rot Disease Based on UAV Remote Sensing

Remote sensing (Basel, Switzerland), 2020-04, Vol.12 (8), p.1310

2020

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Retrieval of rapeseed leaf area index using the PROSAIL model with canopy coverage derived from UAV images as a correction parameter

International journal of applied earth observation and geoinformation, 2021-10, Vol.102, p.102373, Article 102373

2021

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Identification of Cotton Root Rot by Multifeature Selection from Sentinel-2 Images Using Random Forest

Remote sensing (Basel, Switzerland), 2020-11, Vol.12 (21), p.3504

2020

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Segmenting Purple Rapeseed Leaves in the Field from UAV RGB Imagery Using Deep Learning as an Auxiliary Means for Nitrogen Stress Detection

Remote sensing (Basel, Switzerland), 2020-05, Vol.12 (9), p.1403

2020

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Assessing the Effect of Real Spatial Resolution of In Situ UAV Multispectral Images on Seedling Rapeseed Growth Monitoring

Remote sensing (Basel, Switzerland), 2020-04, Vol.12 (7), p.1207

2020

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Rapeseed Stand Count Estimation at Leaf Development Stages With UAV Imagery and Convolutional Neural Networks

Frontiers in plant science, 2020-06, Vol.11, p.617-617

2020

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A shadow- eliminated vegetation index (SEVI) for removal of self and cast shadow effects on vegetation in rugged terrains

International journal of digital earth, 2019-09, Vol.12 (9), p.1013-1029

2019

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Identification of Abandoned Jujube Fields Using Multi-Temporal High-Resolution Imagery and Machine Learning

Remote sensing (Basel, Switzerland), 2021-02, Vol.13 (4), p.801

2021

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Spatial Variability Analysis of Within-Field Winter Wheat Nitrogen and Grain Quality Using Canopy Fluorescence Sensor Measurements

Remote sensing (Basel, Switzerland), 2017-03, Vol.9 (3), p.237

2017

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A Plant-by-Plant Method to Identify and Treat Cotton Root Rot Based on UAV Remote Sensing

Remote sensing (Basel, Switzerland), 2020-08, Vol.12 (15), p.2453

2020

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Remote Sensing Monitoring of Rice Grain Protein Content Based on a Multidimensional Euclidean Distance Method

Remote sensing (Basel, Switzerland), 2022-08, Vol.14 (16), p.3989

2022

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Remote Sensing and Precision Agriculture Technologies for Crop Disease Detection and Management with a Practical Application Example

High resolution satellite imaging sensors for precision agriculture

A high-resolution airborne four-camera imaging system for agricultural remote sensing

Extracellular vesicles of Fusobacterium nucleatum compromise intestinal barrier through targeting RIPK1-mediated cell death pathway

Automatic Estimation of Crop Disease Severity Levels Based on Vegetation Index Normalization

Machine learning-based solution reveals cuproptosis features in inflammatory bowel disease

Editorial for Special Issue: “Recent Progress in UAV-AI Remote Sensing”

Winter Wheat Nitrogen Estimation Based on Ground-Level and UAV-Mounted Sensors

Using High-Resolution Airborne and Satellite Imagery to Assess Crop Growth and Yield Variability for Precision Agriculture

Evaluating high resolution SPOT 5 satellite imagery for crop identification

Soil and Crop Sensing for Precision Crop Production

Rapeseed Seedling Stand Counting and Seeding Performance Evaluation at Two Early Growth Stages Based on Unmanned Aerial Vehicle Imagery

Crop Yield Estimation Based on Unsupervised Linear Unmixing of Multidate Hyperspectral Imagery

Monitoring cotton root rot by synthetic Sentinel-2 NDVI time series using improved spatial and temporal data fusion

Automatic Classification of Cotton Root Rot Disease Based on UAV Remote Sensing

Retrieval of rapeseed leaf area index using the PROSAIL model with canopy coverage derived from UAV images as a correction parameter

Identification of Cotton Root Rot by Multifeature Selection from Sentinel-2 Images Using Random Forest

Segmenting Purple Rapeseed Leaves in the Field from UAV RGB Imagery Using Deep Learning as an Auxiliary Means for Nitrogen Stress Detection

Assessing the Effect of Real Spatial Resolution of In Situ UAV Multispectral Images on Seedling Rapeseed Growth Monitoring

Rapeseed Stand Count Estimation at Leaf Development Stages With UAV Imagery and Convolutional Neural Networks

A shadow- eliminated vegetation index (SEVI) for removal of self and cast shadow effects on vegetation in rugged terrains

Identification of Abandoned Jujube Fields Using Multi-Temporal High-Resolution Imagery and Machine Learning

Spatial Variability Analysis of Within-Field Winter Wheat Nitrogen and Grain Quality Using Canopy Fluorescence Sensor Measurements

A Plant-by-Plant Method to Identify and Treat Cotton Root Rot Based on UAV Remote Sensing

Remote Sensing Monitoring of Rice Grain Protein Content Based on a Multidimensional Euclidean Distance Method

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