Masjkur, Mohammad and Tan, Ken Seng (2020) Comparing Decision Tree, Random Forest and Boosting in Identifying Weather Index for Rice Yield Prediction. In: Proceedings of the 1st International Conference on Statistics and Analytics, ICSA 2019, 2-3 August 2019, Bogor, Indonesia.
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Abstract
Modeling relationship of weather index and yield losses is a basis for developing weather-based index crop insurance. The data mining approach may overcome some limitations of traditional regression approaches to identify a weather index for predicting crop yield. The purpose of study is to evalua
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 12:53 |
| Last Modified: | 17 Apr 2026 12:26 |
| URI: | http://eprints.eai.eu/id/eprint/26973 |
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