Product
Help
Pricing
About
Jobs
Log in
Get started
Author
Add to collection
Jingshan Lu
Observed names:
J.S. Lu,
Jingshan LU
Institutions:
Nanjing Agricultural University,
State Forestry and Grassland Administration,
Ministry of Agriculture and Rural Affairs,
Huazhong University of Science and Technology
Observed institutions:
Nanjing Agricultural University,
State Forestry and Grassland Administration,
Ministry of Agriculture and Rural Affairs,
Jiangsu Collaborative Innovation Center for Modern Crop Production,
Huazhong University of Science and Technology
ORCID:
0000-0002-3858-2769
Observed ORCID:
0000-0002-3858-2769
OpenAlex ID:
A5100460382
Inversion of rice canopy chlorophyll content and leaf area index based on coupling of radiative transfer and Bayesian network models
2019
·
X.Q. Xu
, J.S. Lu
, et al.
·
ISPRS Journal of Photogrammetry and Remote Sensing
·
135
Predicting wheat productivity: Integrating time series of vegetation indices into crop modeling via sequential assimilation
2019
·
Caili Guo
, Yining Tang
, et al.
·
Agricultural and Forest Meteorology
·
79
Monitoring leaf potassium content using hyperspectral vegetation indices in rice leaves
2019
·
Jingshan Lu
, Tiancheng Yang
, et al.
·
Precision Agriculture
·
70
Estimating Leaf Area Index with a New Vegetation Index Considering the Influence of Rice Panicles
2019
·
Jiaoyang He
, Ni Zhang
, et al.
·
Remote Sensing
·
59
PDF
Improving Unmanned Aerial Vehicle (UAV) remote sensing of rice plant potassium accumulation by fusing spectral and textural information
2021
·
Jingshan Lu
, Jan U.H. Eitel
, et al.
·
International Journal of Applied Earth Observation and Geoinformation
·
58
Grain yield prediction using multi-temporal UAV-based multispectral vegetation indices and endmember abundance in rice
2023
·
Xi Su
, Jiacheng Wang
, et al.
·
Field Crops Research
·
48
The relationship between wheat yield and sun-induced chlorophyll fluorescence from continuous measurements over the growing season
2023
·
Jie Zhu
, Yuming Yin
, et al.
·
Remote Sensing of Environment
·
35
Estimation of rice plant potassium accumulation based on non-negative matrix factorization using hyperspectral reflectance
2020
·
Jingshan Lu
, Wanyu Li
, et al.
·
Precision Agriculture
·
31
Estimation of canopy water content for wheat through combining radiative transfer model and machine learning
2023
·
Jie Zhu
, Jingshan Lu
, et al.
·
Field Crops Research
·
28
Transferability of Models for Predicting Rice Grain Yield from Unmanned Aerial Vehicle (UAV) Multispectral Imagery across Years, Cultivars and Sensors
2022
·
Hengbiao Zheng
, Wenhan Ji
, et al.
·
Drones
·
23
PDF
Development of Chlorophyll-Meter-Index-Based Dynamic Models for Evaluation of High-Yield Japonica Rice Production in Yangtze River Reaches
2019
·
Ke Zhang
, Xiaojun Liu
, et al.
·
Agronomy
·
22
PDF
Retrieving potassium levels in wheat blades using normalised spectra
2021
·
Tiancheng Yang
, Jingshan Lu
, et al.
·
International Journal of Applied Earth Observation and Geoinformation
·
18
PDF
Estimation of plant water content in cut chrysanthemum using leaf-based hyperspectral reflectance
2023
·
Jingshan Lu
, Yin Wu
, et al.
·
Scientia Horticulturae
·
15
Estimation of nitrogen nutrition index in chrysanthemum using chlorophyll meter readings
2022
·
Jingshan Lu
, Weijie Nie
, et al.
·
Industrial Crops and Products
·
15
High-Throughput Field Phenotyping Using Unmanned Aerial Vehicles (UAVs) for Rapid Estimation of Photosynthetic Traits
2025
·
Jingshan Lu
, Qimo Qi
, et al.
·
Plant Phenomics
·
11
Combining Remote Sensing and Meteorological Data for Improved Rice Plant Potassium Content Estimation
2021
·
Jingshan Lu
, Jan U. H. Eitel
, et al.
·
Remote Sensing
·
9
PDF
Estimating photosynthetic traits in tea chrysanthemum using high-throughput leaf hyperspectral reflectance
2025
·
Jingshan Lu
, Qimo Qi
, et al.
·
Plant Physiology and Biochemistry
·
8
Monitoring the Nitrogen Nutrition Index Using Leaf-Based Hyperspectral Reflectance in Cut Chrysanthemums
2024
·
Yin Wu
, Jingshan Lu
, et al.
·
Remote Sensing
·
7
PDF
Estimation of Garden Chrysanthemum Crown Diameter Using Unmanned Aerial Vehicle (UAV)-Based RGB Imagery
2024
·
Jiuyuan Zhang
, Jingshan Lu
, et al.
·
Agronomy
·
7
PDF
Machine learning-assisted hyperspectral reflectance analysis for non-destructive detection of clothianidin residues in tea chrysanthemum
2025
·
Jingshan Lu
, Qiuyan Zhang
, et al.
·
Microchemical Journal
·
6
Enhanced UAV-based SPAD values estimation in tea chrysanthemum: an optimized and interpretable machine learning approach integrating spectral and textural information
2025
·
Qimo Qi
, Jingshan Lu
, et al.
·
Smart Agricultural Technology
·
5
Classification of Garden Chrysanthemum Flowering Period Using Digital Imagery from Unmanned Aerial Vehicle (UAV)
2025
·
Jiuyuan Zhang
, Jingshan Lu
, et al.
·
Agronomy
·
5
PDF
Toxin Production by Alternaria alternata in Black Spot Disease of Chrysanthemum morifolium ‘Fubai’: Accumulation of Altenuene and Tenuazonic Acid in Flowers
2025
·
Qingling Zhan
, Lina Liu
, et al.
·
Toxins
·
3
PDF
Optimizing nitrogen management based on nitrogen accumulation at key growth stages enhances quality and nitrogen use efficiency of soilless cultivated cut chrysanthemum
2026
·
Huahao Liu
, Shuang Zhao
, et al.
·
Scientia Horticulturae
·
2
Predictive Modeling Study on the Critical Nitrogen Concentration and Accumulation in Cut Chrysanthemum Based on the Cumulative Photo-Thermal Effect
2025
·
Huahao Liu
, Yin Wu
, et al.
·
Horticulturae
·
2
PDF
Show more works
View as search
Works count:
36
Citation count:
703
H-index:
14
I10-index:
15
Year
Topic
Type