Area of research
Plant Science · Ecology
Research interest
Research interests include Remote Sensing in Agriculture, Rice Cultivation and Yield Improvement, Leaf Properties and Growth Measurement, and Crop Yield and Soil Fertility.
Winter wheat yield responses to growing degree days: Long-term trends and adaptability in major producing areas of China
Integrating phenology information with UAV multispectral data for rice nitrogen nutrition diagnosis
Effects of N management optimization practices on rice productivity and N loss: a meta-analysis
Rice yield prediction base on UAV multispectral imagery using machine learning methods
Advanced hyper-spectral feature engineering for real-time prediction of tea quality in support of high-grade cultivation
Decoding spatial consistency of multi-Source land cover products in China: Insights from heterogeneous landscapes
Using the time series nitrogen diagnosis curve for precise nitrogen management in wheat and rice
Multi-source data fusion improved the potential of proximal fluorescence sensors in predicting nitrogen nutrition status across winter wheat growth stages
Non-destructive monitoring of tea plant growth through UAV spectral imagery and meteorological data using machine learning and parameter optimization algorithms
Sustainability assessment of nitrogen nutrition index based topdressing nitrogen application
Potential benefits of variable rate nitrogen topdressing strategy coupled with zoning technique: A case study in a town-scale rice production system
Mining sensitive hyperspectral feature to non-destructively monitor biomass and nitrogen accumulation status of tea plant throughout the whole year
Effects of dense planting patterns on photosynthetic traits of different vertical layers and yield of wheat under different nitrogen rates
Optimizing nitrogen fertilizer application in Chinese rice production under current and warming climatic scenarios
Spatial and temporal correlation between soil and rice relative yield in small-scale paddy fields and management zones
Combining UAV and Sentinel-2 satellite multi-spectral images to diagnose crop growth and N status in winter wheat at the county scale
Evaluation of Variable Application Rate of Fertilizers Based on Site-Specific Management Zones for Winter Wheat in Small-Scale Farming
Developing an efficiency and energy-saving nitrogen management strategy for winter wheat based on the UAV multispectral imagery and machine learning algorithm
Coupling continuous wavelet transform with machine learning to improve water status prediction in winter wheat
Combining machine learning algorithm and multi-temporal temperature indices to estimate the water status of rice
Improving the spatial and temporal estimation of ecosystem respiration using multi-source data and machine learning methods in a rainfed winter wheat cropland
In-season mapping of rice yield potential at jointing stage using Sentinel-2 images integrated with high-precision UAS data
Developing a nitrogen application estimation model for diverse wheat fields: A user-friendly approach for smallholder nitrogen fertilizer recommendations
Optimizing rice in-season nitrogen topdressing by coupling experimental and modeling data with machine learning algorithms
Remotely assessing FIPAR of different vertical layers in field wheat
A novel method for optimizing regional-scale management zones based on a sustainable environmental index
Improving the Prediction of Grain Protein Content in Winter Wheat at the County Level with Multisource Data: A Case Study in Jiangsu Province of China
Improving wheat yield prediction integrating proximal sensing and weather data with machine learning
Advances in the estimations and applications of critical nitrogen dilution curve and nitrogen nutrition index of major cereal crops. A review
Combining fixed-wing UAV multispectral imagery and machine learning to diagnose winter wheat nitrogen status at the farm scale