Machine learning methods for crop yield prediction and climate change impact assessment in agriculture
Crop yields are critically dependent on weather. A growing empirical literature models this relationship in order to project climate change impacts on the sector. We describe an approach to yield modeling that uses a semiparametric variant of a deep neural network, which can simultaneously account f...
Αποθηκεύτηκε σε:
| Κύριος συγγραφέας: | |
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| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
IOP Publishing
2018-01-01
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| Σειρά: | Environmental Research Letters |
| Θέματα: | |
| Διαθέσιμο Online: | https://doi.org/10.1088/1748-9326/aae159 |
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