Trend prediction of irrigation area using improved random forest regression

Author:

Wang Maofa1ORCID,Huang Hongliang2,Gao Guangda3,Tang Weiyu2

Affiliation:

1. Guangxi Key Laboratory of Trusted Software Guilin University of Electronic Technology Guilin 541004 China

2. Zhuhai College of Jilin University Zhuhai 519040 China

3. School of Information Engineering China University of Geosciences (Beijing) Beijing 100083 China

Funder

Specific Research Project of Guangxi for Research Bases and Talents

Guangxi Key Laboratory of Trusted Software, Guilin University of Electronic Technology

National Natural Science Foundation of China

Publisher

Wiley

Subject

Soil Science,Agronomy and Crop Science

Reference27 articles.

1. Bagging predictors, machine learning research: Four current directions;Breiman L.;AIM Magazine,1997

2. Breiman L.(2001)Random forest. Machine learning 45 5–32.https://doi.org/10.1023/A:1010933404324

3. Breiman L. Friedman J. R. Olshen R. &Stone C.(1984)Classification and regresssion trees.https://www.science-open.com/document?vid=72d40e86-6f7a-49b2-8520-2633f2a00a33

4. Chang J. S. Luo Y.F. &Su K.Y.(1992)GPSM: A Generalized Probabilistic Semantic Model for Ambiguity Resolution. Proceedings of the 30th annual meeting on Association for Computational Linguistics 177–184.https://doi.org/10.3115/981967.981990

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