A comparative study of machine learning models in predicting crop yield
Abstract This paper explores different machine learning techniques applied in the prediction of crop yield based on meteorological parameters. Recurrent Neural Networks (RCN), Convolutional Neural Networks, Random Forest, Decision Trees, Gradient Boosting machine (GBM) was explored. To rate the perf...
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| Hoofdauteurs: | , , , |
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| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Springer
2025-09-01
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| Reeks: | Discover Agriculture |
| Onderwerpen: | |
| Online toegang: | https://doi.org/10.1007/s44279-025-00335-z |
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