paper
2018
Applications & impacts
Review, survey or tutorial
Classical ML (trees, GP, linear, kernels)Seasonal to annual Journal
2018-10-26
018
Oct 2018
Andrew Crane-Droesch
Environmental Research Letters
Reviews machine learning for crop yield prediction and climate impact on agriculture, with crops rather than the climate system as the main target.
Machine learning methods for crop yield prediction and climate change impact assessment in agriculture
In one sentence. Reviews machine learning for crop yield prediction and climate impact on agriculture, with crops rather than the climate system as the main target.
Labels
- Topic
- Applications & impacts
- Type
- Review, survey or tutorial
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- Seasonal to annual
- Domain
- Regional
- Data
- Other
- Status
- Research
- Identifiers
- DOI:10.1088/1748-9326/aae159 OpenAlex:W2891765392
- Added
- 2026-10-22
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