Predicting climate smart agriculture (CSA) practices using machine learning: A prime exploratory survey
The paper aim and novelty is the development of technology-based tools able of providing realistic insights on farmers’ future adaptation decisions by developing an ML algorithm to predict Climate-Smart Agriculture (CSA) practices and highlight modeling challenges to account for. And proposing a the...
| Main Authors: | , |
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| Format: | Journal Article |
| Language: | Inglés |
| Published: |
Elsevier
2024
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/141876 |
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