Xiuliang Jin

Hainan Provincial Academy of Agricultural Sciences — China

Environmental Science · Physical Sciences

31h-index2.9kcitations80works10.42yr avg
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Research Topics

Remote Sensing in Agriculture(52), Remote Sensing and LiDAR Applications(20), Smart Agriculture and AI(18), Spectroscopy and Chemometric Analyses(18), Leaf Properties and Growth Measurement(16)

Publications80 total

Improved Estimation of Cotton Aboveground Biomass Using a New Developed Multispectral Vegetation Index and Particle Swarm Optimization
Agriculture·2025Open Access
A novel strategy for improving canopy nitrogen density retrieval by deciphering saturation effects and vertical heterogeneity
Computers and Electronics in Agriculture·2025
Critical nitrogen and potassium dilution curves for potato in Northeast China
Field Crops Research·2025· 1 cited
Time-series NDVI and greenness spectral indices in mid-to-late growth stages enhance maize yield estimation
Field Crops Research·2025· 5 citedOpen Access
Assessment of salt tolerance in peas using machine learning and multi-sensor data
Plant Stress·2025· 3 citedOpen Access
Spectroscopic detection of cotton Verticillium wilt by spectral feature selection and machine learning methods
Frontiers in Plant Science·2025· 2 citedOpen Access
How to Better Use Canopy Height in Soybean Biomass Estimation
Agriculture·2025· 1 citedOpen Access
Maize tasseling date forecast from canopy height time series estimated by UAV LiDAR data
The Crop Journal·2025· 2 citedOpen Access
Optimized Soil Nitrogen Management for Enhanced Photosynthetic Efficiency and Yield in High-Quality Japonica Rice in the Taihu Lake Region
International Journal of Plant Production·2025· 2 cited
Estimating Stratified Biomass in Cotton Fields Using UAV Multispectral Remote Sensing and Machine Learning
Drones·2025· 3 citedOpen Access
Synergistic Effects of Combined Foliar Fertilizers on Growth, Stress Tolerance, and Yield of High-quality Japonica Rice
International Journal of Plant Production·2025· 1 cited
Research on identification of common bean seed vigor based on hyperspectral and deep learning
Microchemical Journal·2025· 2 cited
Accurate Estimation of Plant Water Content in Cotton Using UAV Multi-Source and Multi-Stage Data
Drones·2025· 8 citedOpen Access
DAFFnet: Seed classification of soybean variety based on dual attention feature fusion networks
The Crop Journal·2025· 6 citedOpen Access
Remote sensing-based maize growth process parameters revel the maize yield: a comparison of field- and regional-scale
BMC Plant Biology·2025· 5 citedOpen Access
FEL-YoloV8: A New Algorithm for Accurate Monitoring Soybean Seedling Emergence Rates and Growth Uniformity
IEEE Transactions on Geoscience and Remote Sensing·2025· 3 cited
Synergistic use of stay-green traits and UAV multispectral information in improving maize yield estimation with the random forest regression algorithm
Computers and Electronics in Agriculture·2024· 14 cited
Optimized soil nitrogen management for enhanced photosynthetic efficiency and yield in high-quality japonica rice in the Taihu Lake region
2024Open Access
Research on variety identification of common bean seeds based on hyperspectral and deep learning
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy·2024· 14 cited
Comprehensive analysis of hyperspectral features for monitoring canopy maize leaf spot disease
Computers and Electronics in Agriculture·2024· 12 citedOpen Access
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Frequent Co-authors

Haikuan Feng(17), Guijun Yang(14), Chenwei Nie(13), Minghan Cheng(12), Zhenhai Li(11), Jibo Yue(11), Yiguang Fan(10), Yi Bai(9), Yang Liu(9), Xun Yu(8), Shuaibing Liu(8), Dameng Yin(8), Xiaoyu Song(8), Ningbo Cui(7), Mingchao Shao(6), Yanpeng Ma(6), Wenbin Wu(6), Xiyun Jiao(5), Mingbo Bian(5), Lin Meng(5)