HelioWebNanjing Agricultural University, China
flowchart
I[Nanjing Agricultural University, China]
PI["Parent Institutions (0)"]
CI["Child Institutions (0)"]
AW["Affiliated Works (17)"]
CA["Linked Collaborating Authors (1)"]
I== skos:broader ==>PI
CI== skos:broader ==>I
AW== affil ==>I
AW== author ==>CA
click PI "#parent-institutions"
click CI "#child-institutions"
click AW "#affiliated-works"
click CA "#collaborating-authors"
Parent Institutions [?]
Child Institutions [?]
Affiliated Works
sorted by decreasing year, and then by display-name
- Effects of Disturbance and Reforestation Programs on China's Forest Carbon Budget in 1901-2001
- Chemical Structures of Kerogen and Their Changes During Thermal Evolution Investigated by Advanced Solid-state NMR Spectroscopy
- Modeling greenhouse gas emissions in Chinese cropping systems using the DAYCENT model
- Role of Iron Oxyhydrates in Accumulation and Stabilization of Soil Organic Matter in Rice Paddy: Case Studies from China
- Using the DayCent Ecosystem Model to Predict Methane Emissions from Wetland Rice Production in Support for Mitigation Efforts
- Bacterial uptake of antibiotics in model unsaturated systems
- Annual dynamics of N<SUB>2</SUB>O, CH<SUB>4</SUB> and CO<SUB>2</SUB> fluxes from the agricultural irrigation watersheds in southeast China
- Identifying the most suitable crop rotations and optimum N applications for the Yangtze River Basin<SUP>#</SUP>
- Impacts of 1.5<SUP>o</SUP>C global warming on winter wheat production of China
- Integrating analysis of carbon, nitrogen and water footprint for evaluating crop production sustainability
- A Scalable Modeling Framework for the Sustainability of the Global Crop Supply Chain focusing on U.S.-China Interactions
- Prediction of Wheat Yield Potential with Crop Models and Machine Learning Under Climate Variability and Change
- AdaBoost-based Back Propagation Neural Networks Improve the Estimation Accuracy of Pear Leaf Nitrogen Concentration by the In-field VIS-NIR Spectroscopy
- Monitoring Rice Plant Potassium Content Using the Combination of Remote Sensing and Meteorological Data
- Process-based model for estimation of wheat production MATCRO-Wheat
- Global leaf chlorophyll content estimated from the TROPOspheric Monitoring Instrument observations and environment drivers
- Microbial activity and nutrient quality control on microbial necromass accumulation in coastal wetlands