Yan Zhu
Orcid: 0000-0002-1884-2404Affiliations:
- Nanjing Agricultural University, China
According to our database1,
Yan Zhu
authored at least 115 papers
between 2007 and 2024.
Collaborative distances:
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Bibliography
2024
IEEE Trans. Geosci. Remote. Sens., 2024
Assessing the Sensitivity of Semiempirical Models to Spectral Data Quality and Sensor Settings When Estimating Leaf Chlorophyll Content.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
2023
Annual 30 m winter wheat yield mapping in the Huang-Huai-Hai plain using crop growth model and long-term satellite images.
Comput. Electron. Agric., November, 2023
Towards practical semi-empirical models for the estimation of leaf and canopy water contents from hyperspectral reflectance.
Comput. Electron. Agric., November, 2023
Improving yield prediction based on spatio-temporal deep learning approaches for winter wheat: A case study in Jiangsu Province, China.
Comput. Electron. Agric., October, 2023
Precision weed detection in wheat fields for agriculture 4.0: A survey of enabling technologies, methods, and research challenges.
Comput. Electron. Agric., September, 2023
A framework combined stacking ensemble algorithm to classify crop in complex agricultural landscape of high altitude regions with Gaofen-6 imagery and elevation data.
Int. J. Appl. Earth Obs. Geoinformation, August, 2023
Optimizing rice in-season nitrogen topdressing by coupling experimental and modeling data with machine learning algorithms.
Comput. Electron. Agric., June, 2023
Estimating leaf nitrogen and chlorophyll content in wheat by correcting canopy structure effect through multi-angular remote sensing.
Comput. Electron. Agric., May, 2023
Integration of Canopy Water Removal and Spectral Triangle Index for Improved Estimations of Leaf Nitrogen and Grain Protein Concentrations in Winter Wheat.
IEEE Trans. Geosci. Remote. Sens., 2023
A Novel Accurate Insecticidal Counting Method Based on Solar Insecticidal Lamp Using Machine Learning.
IEEE Trans. Consumer Electron., 2023
A Portable Pull-Out Soil Profile Moisture Sensor Based on High-Frequency Capacitance.
Sensors, 2023
2022
Dataset, October, 2022
MACA: A Relative Radiometric Correction Method for Multiflight Unmanned Aerial Vehicle Images Based on Concurrent Satellite Imagery.
IEEE Trans. Geosci. Remote. Sens., 2022
Transfer-Learning-Based Approach for Yield Prediction of Winter Wheat from Planet Data and SAFY Model.
Remote. Sens., 2022
Hyperspectral Reflectance Proxies to Diagnose In-Field Fusarium Head Blight in Wheat with Machine Learning.
Remote. Sens., 2022
Evaluation of Diverse Convolutional Neural Networks and Training Strategies for Wheat Leaf Disease Identification with Field-Acquired Photographs.
Remote. Sens., 2022
A deep learning method for oriented and small wheat spike detection (OSWSDet) in UAV images.
Comput. Electron. Agric., 2022
Design and testing of a crop growth sensor aboard a fixed-wing unmanned aerial vehicle.
Comput. Electron. Agric., 2022
Improving wheat yield prediction integrating proximal sensing and weather data with machine learning.
Comput. Electron. Agric., 2022
Advances in the estimations and applications of critical nitrogen dilution curve and nitrogen nutrition index of major cereal crops. A review.
Comput. Electron. Agric., 2022
2021
AAVI: A Novel Approach to Estimating Leaf Nitrogen Concentration in Rice From Unmanned Aerial Vehicle Multispectral Imagery at Early and Middle Growth Stages.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
Estimation of Crop Yield From Combined Optical and SAR Imagery Using Gaussian Kernel Regression.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
Estimation of Leaf Nitrogen Content in Wheat Based on Fusion of Spectral Features and Deep Features from Near Infrared Hyperspectral Imagery.
Sensors, 2021
Evaluation of Three Portable Optical Sensors for Non-Destructive Diagnosis of Nitrogen Status in Winter Wheat.
Sensors, 2021
Remote. Sens., 2021
Combining Remote Sensing and Meteorological Data for Improved Rice Plant Potassium Content Estimation.
Remote. Sens., 2021
Early Detection of Powdery Mildew Disease and Accurate Quantification of Its Severity Using Hyperspectral Images in Wheat.
Remote. Sens., 2021
Estimating the Leaf Nitrogen Content with a New Feature Extracted from the Ultra-High Spectral and Spatial Resolution Images in Wheat.
Remote. Sens., 2021
Combining texture, color, and vegetation indices from fixed-wing UAS imagery to estimate wheat growth parameters using multivariate regression methods.
Comput. Electron. Agric., 2021
Spectral monitoring of wheat leaf nitrogen content based on canopy structure information compensation.
Comput. Electron. Agric., 2021
AGTOC: A novel approach to winter wheat mapping by automatic generation of training samples and one-class classification on Google Earth Engine.
Int. J. Appl. Earth Obs. Geoinformation, 2021
Int. J. Appl. Earth Obs. Geoinformation, 2021
Improving Unmanned Aerial Vehicle (UAV) remote sensing of rice plant potassium accumulation by fusing spectral and textural information.
Int. J. Appl. Earth Obs. Geoinformation, 2021
2020
HISTIF: A New Spatiotemporal Image Fusion Method for High-Resolution Monitoring of Crops at the Subfield Level.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020
A Comparative Assessment of Measures of Leaf Nitrogen in Rice Using Two Leaf-Clip Meters.
Sensors, 2020
Monitoring Wheat Growth Using a Portable Three-Band Instrument for Crop Growth Monitoring and Diagnosis.
Sensors, 2020
Using an Active Sensor to Develop New Critical Nitrogen Dilution Curve for Winter Wheat.
Sensors, 2020
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. Sens., 2020
Spectrum- and RGB-D-Based Image Fusion for the Prediction of Nitrogen Accumulation in Wheat.
Remote. Sens., 2020
Use of an Active Canopy Sensor Mounted on an Unmanned Aerial Vehicle to Monitor the Growth and Nitrogen Status of Winter Wheat.
Remote. Sens., 2020
Wheat Growth Monitoring and Yield Estimation based on Multi-Rotor Unmanned Aerial Vehicle.
Remote. Sens., 2020
Estimation of Canopy Biomass Components in Paddy Rice from Combined Optical and SAR Data Using Multi-Target Gaussian Regressor Stacking.
Remote. Sens., 2020
Detection of phenology using an improved shape model on time-series vegetation index in wheat.
Comput. Electron. Agric., 2020
Early season detection of rice plants using RGB, NIR-G-B and multispectral images from unmanned aerial vehicle (UAV).
Comput. Electron. Agric., 2020
DESTIN: A new method for delineating the boundaries of crop fields by fusing spatial and temporal information from WorldView and Planet satellite imagery.
Comput. Electron. Agric., 2020
Estimating aboveground and organ biomass of plant canopies across the entire season of rice growth with terrestrial laser scanning.
Int. J. Appl. Earth Obs. Geoinformation, 2020
Design and Testing of an Active Light Source Apparatus for Crop Growth Monitoring and Diagnosis.
IEEE Access, 2020
Recognition of Weeds in Wheat Fields Based on the Fusion of RGB Images and Depth Images.
IEEE Access, 2020
2019
Using a Portable Active Sensor to Monitor Growth Parameters and Predict Grain Yield of Winter Wheat.
Sensors, 2019
Sensors, 2019
Evaluation of Aboveground Nitrogen Content of Winter Wheat Using Digital Imagery of Unmanned Aerial Vehicles.
Sensors, 2019
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, 2019
Rapid Mosaicking of Unmanned Aerial Vehicle (UAV) Images for Crop Growth Monitoring Using the SIFT Algorithm.
Remote. Sens., 2019
Predicting Rice Grain Yield Based on Dynamic Changes in Vegetation Indexes during Early to Mid-Growth Stages.
Remote. Sens., 2019
Estimation of Rice Growth Parameters Based on Linear Mixed-Effect Model Using Multispectral Images from Fixed-Wing Unmanned Aerial Vehicles.
Remote. Sens., 2019
Combining Color Indices and Textures of UAV-Based Digital Imagery for Rice LAI Estimation.
Remote. Sens., 2019
Generating Red-Edge Images at 3 M Spatial Resolution by Fusing Sentinel-2 and Planet Satellite Products.
Remote. Sens., 2019
Using Digital Cameras on an Unmanned Aerial Vehicle to Derive Optimum Color Vegetation Indices for Leaf Nitrogen Concentration Monitoring in Winter Wheat.
Remote. Sens., 2019
Quantifying Chlorophyll Fluorescence Parameters from Hyperspectral Reflectance at the Leaf Scale under Various Nitrogen Treatment Regimes in Winter Wheat.
Remote. Sens., 2019
Estimating Leaf Area Index with a New Vegetation Index Considering the Influence of Rice Panicles.
Remote. Sens., 2019
A newly developed method to extract the optimal hyperspectral feature for monitoring leaf biomass in wheat.
Comput. Electron. Agric., 2019
Detection of wheat height using optimized multi-scan mode of LiDAR during the entire growth stages.
Comput. Electron. Agric., 2019
Exploiting the Textural Information of UAV Multispectral Imagery to Monitor Nitrogen Status in Rice.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
2018
Wireless Channel Propagation Characteristics and Modeling Research in Rice Field Sensor Networks.
Sensors, 2018
Sensors, 2018
A Comparative Assessment of Different Modeling Algorithms for Estimating Leaf Nitrogen Content in Winter Wheat Using Multispectral Images from an Unmanned Aerial Vehicle.
Remote. Sens., 2018
Evaluation of RGB, Color-Infrared and Multispectral Images Acquired from Unmanned Aerial Systems for the Estimation of Nitrogen Accumulation in Rice.
Remote. Sens., 2018
Evaluation of One-Class Support Vector Classification for Mapping the Paddy Rice Planting Area in Jiangsu Province of China from Landsat 8 OLI Imagery.
Remote. Sens., 2018
Evaluation of Three Techniques for Correcting the Spatial Scaling Bias of Leaf Area Index.
Remote. Sens., 2018
Difference and Potential of the Upward and Downward Sun-Induced Chlorophyll Fluorescence on Detecting Leaf Nitrogen Concentration in Wheat.
Remote. Sens., 2018
Uncertainty in Upscaling In Situ Soil Moisture Observations to Multiscale Pixel Estimations with Kriging at the Field Level.
ISPRS Int. J. Geo Inf., 2018
A neural network method for the reconstruction of winter wheat yield series based on spatio-temporal heterogeneity.
Comput. Electron. Agric., 2018
Detecting Rice Blast Disease Using Model Inverted Biochemical Variables from Close-Range Reflectance Imagery of Fresh Leaves.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
BRDF Effect on the Estimation of Canopy Chlorophyll Content in Paddy Rice from UAV-Based Hyperspectral Imagery.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Power and Difference of the Up-and-Downward Sun-Induced Chlorophyll Fluorescence on Detecting Leaf Nitrogen Content in Wheat at the Leaf Scale.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Improved Estimation of Leaf Chlorophyll Content from Non-Noon Reflectance Spectra of Wheat Canopies by Avoiding the Effect of Soil Background.
Proceedings of the 2018 7th International Conference on Agro-geoinformatics (Agro-geoinformatics), 2018
Comparison RGB Digital Camera with Active Canopy Sensor Based on UAV for Rice Nitrogen Status Monitoring.
Proceedings of the 2018 7th International Conference on Agro-geoinformatics (Agro-geoinformatics), 2018
2017
Assessing the Spectral Properties of Sunlit and Shaded Components in Rice Canopies with Near-Ground Imaging Spectroscopy Data.
Sensors, 2017
Sensors, 2017
Using an Active-Optical Sensor to Develop an Optimal NDVI Dynamic Model for High-Yield Rice Production (Yangtze, China).
Sensors, 2017
Estimation of Wheat LAI at Middle to High Levels Using Unmanned Aerial Vehicle Narrowband Multispectral Imagery.
Remote. Sens., 2017
Spectroscopic Estimation of Biomass in Canopy Components of Paddy Rice Using Dry Matter and Chlorophyll Indices.
Remote. Sens., 2017
2016
Node Deployment with <i>k</i>-Connectivity in Sensor Networks for Crop Information Full Coverage Monitoring.
Sensors, 2016
Remote. Sens., 2016
A taxonomy-based approach to shed light on the babel of mathematical models for rice simulation.
Environ. Model. Softw., 2016
An improved method of delineating rectangular management zones using a semivariogram-based technique.
Comput. Electron. Agric., 2016
Assessment of spectral variation between rice canopy components using spectral feature analysis of near-ground hyperspectral imaging data.
Proceedings of the 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2016
Retrieval of LEAF pigment content using wavelet-based prospect inversion from leaf reflectance spectra.
Proceedings of the 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2016
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016
Evaluation of a UAV-based hyperspectral frame camera for monitoring the leaf nitrogen concentration in rice.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016
Evaluation of Landsat 8 time series image stacks for predicitng yield and yield components of winter wheat.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016
Comparative analysis of vegetation indices, non-parametric and physical retrieval methods for monitoring nitrogen in wheat using UAV-based multispectral imagery.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016
Wavelet-based PROSPECT inversion for retrieving leaf mass per area (LMA) and equivalent water thickness (EWT) from leaf reflectance.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016
Inversion of chlorophyll fluorescence parameters on vegetation indices at leaf scale.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016
Towards decomposing the effects of foliar nitrogen content and canopy structure on rice canopy spectral variability through multi-scale spectral analysis.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016
2015
The Node Deployment of Intelligent Sensor Networks Based on the Spatial Difference of Farmland Soil.
Sensors, 2015
Remote. Sens., 2015
Exploring the Vertical Distribution of Structural Parameters and Light Radiation in Rice Canopies by the Coupling Model and Remote Sensing.
Remote. Sens., 2015
Design and Experimentation of Piezoelectric Crystal Sensor Array for Grain Cleaning Loss.
Int. J. Distributed Sens. Networks, 2015
A wavelet-based technique for extracting the red edge position from vegetation reflectance spectra.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015
2014
Development of a Novel Bidirectional Canopy Reflectance Model for Row-Planted Rice and Wheat.
Remote. Sens., 2014
Detecting leaf nitrogen content in wheat with canopy hyperspectrum under different soil backgrounds.
Int. J. Appl. Earth Obs. Geoinformation, 2014
2013
Comparison and Intercalibration of Vegetation Indices from Different Sensors for Monitoring Above-Ground Plant Nitrogen Uptake in Winter Wheat.
Sensors, 2013
2012
The Simulation Models of Nitrogen Accumulation and Partitioning in Plant for Protected Cultivated Tomato.
Proceedings of the Computer and Computing Technologies in Agriculture VI, 2012
2011
Proceedings of the Computer and Computing Technologies in Agriculture V, 2011
2010
Exploring hyperspectral bands and estimation indices for leaf nitrogen accumulation in wheat.
Int. J. Appl. Earth Obs. Geoinformation, 2010
Proceedings of the Computer and Computing Technologies in Agriculture IV, 2010
Design and Realization of a VRGIS-Based Digital Agricultural Region Management System.
Proceedings of the Computer and Computing Technologies in Agriculture IV, 2010
The Study on the Organization Approach of Agricultural Model Components Library Based on Topic Map.
Proceedings of the Computer and Computing Technologies in Agriculture IV, 2010
2008
Analysis of common canopy vegetation indices for indicating leaf nitrogen accumulations in wheat and rice.
Int. J. Appl. Earth Obs. Geoinformation, 2008
2007
Proceedings of the Computer And Computing Technologies In Agriculture, 2007
Proceedings of the Computer And Computing Technologies In Agriculture, 2007