paper
2020
Applications & impacts
Climate analysis & attribution Application study
Classical ML (trees, GP, linear, kernels)Seasonal to annual Journal
2020-03-31
008
Mar 2020
부경대학교 지구환경시스템과학부 공간정보시스템공학전공 석사과정, Subin Cho, Nari Kim et al.
Journal of Climate Research
A deep neural network predicts Chinese rice yields from climate model data, improving correlation about 38.7% over multiple linear regression.
A Deep Neural Network Approach to Prediction of Rice Yields in China
In one sentence. A deep neural network predicts Chinese rice yields from climate model data, improving correlation about 38.7% over multiple linear regression.
Labels
- Topic
- Applications & impacts, Climate analysis & attribution
- Type
- Application study
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- Seasonal to annual
- Domain
- Regional
- Data
- CMIP / climate model output, Other
- Status
- Research
- Identifiers
- DOI:10.14383/cri.2020.15.1.35 OpenAlex:W3021226352
- Added
- 2026-10-22
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