Soybean yield estimation and lodging classification based on UAV multi-source data and self-supervised contrastive learning.

Improved random patches and model transfer for deriving leaf mass per area across multispecies from spectral reflectance.

Quantitative analysis and planting optimization of multi-genotype sugar beet plant types based on 3D plant architecture.

Improving Spatial Disaggregation of Crop Yield by Incorporating Machine Learning with Multisource Data: A Case Study of Chinese Maize Yield.

Post-processing R tool for SWAT efficiently studying climate change impacts on hydrology, water quality, and crop growth.

Modeling ammonia volatilization following urea and controlled-release urea application to paddy fields.

Developing machine learning models with multi-source environmental data to predict wheat yield in China.

Effects of global climate change on the hydrological cycle and crop growth under heavily irrigated management - A comparison between CMIP5 and CMIP6.

Incorporating dynamic factors for improving a GIS-based solar radiation model.

Creating New Near-Surface Air Temperature Datasets to Understand Elevation-Dependent Warming in the Tibetan Plateau.