A5065251213- Land Use and Ecosystem Services
- Housing Market and Economics
- Soil Carbon and Nitrogen Dynamics
- Remote Sensing in Agriculture
- Financial Literacy, Pension, Retirement Analysis
- Climate change impacts on agriculture
- Working Capital and Financial Performance
- Topic Modeling
- Aluminum toxicity and tolerance in plants and animals
- Soil Geostatistics and Mapping
- Insurance and Financial Risk Management
- Plant Water Relations and Carbon Dynamics
- Forest Management and Policy
- Remote-Sensing Image Classification
- Banking stability, regulation, efficiency
- Soil erosion and sediment transport
- Firm Innovation and Growth
- Hydrology and Watershed Management Studies
- Sentiment Analysis and Opinion Mining
- Housing, Finance, and Neoliberalism
- Plant Stress Responses and Tolerance
- Wildlife-Road Interactions and Conservation
- Irrigation Practices and Water Management
- Legume Nitrogen Fixing Symbiosis
- Urban Green Space and Health
China Agricultural University
2018-2022
Ministry of Natural Resources
2018
We demonstrated an innovative learning method of convolutional neural network (CNN) to identify landuse and land cover (LULC) patterns extract features disaggregate socio-economic factors by using remote sensing imageries at 30 m spatial resolution. The training labels were extracted from the historical LULC map reduce huge cost labelling work, provide inaccuracy but sufficient dataset. fully connected layer trained CNN was as disaggregating population gross domestic product (GDP). Results...
The North China Plain (NCP) is the primary wheat and maize production area in China. NCP currently experiencing rapid urbanization, cultivation pattern of farmer households changing drastically, which could influence food security this region. In study, we developed an agent-based model to simulate decision-making process analyze on based a regional case study conducted Luancheng County. was sampling survey data, remote-sensing demographic data. results predicted decrease percentage Grain...
Agricultural afforestation is an important way to mitigate climate change and improve the environmental quality of city system. The major restriction planning agricultural programs optimize carbon sequestration potential these decrease food productivity. spatial heterogeneity both productivity further complicate this problem. In article, we demonstrate how particle swarm optimization (PSO) method can be formulated applied address Based on estimation potential, a PSO model generate optimal...
Satirical news detection is an important yet challenging task to prevent spread of misinformation. Many feature based and end-to-end neural nets satirical systems have been proposed delivered promising results. Existing approaches explore comprehensive word features from articles, but lack semantic metrics using vectors for tweet form news. Moreover, the vagueness satire parody determines that a can hardly be classified with binary decision, is, or legitimate. To address these issues, we...