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Updated: Jul 2, 2025

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
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多源信息融合驱动的玉米产量预测使用随机森林从农业和林业经济管理的角度

Xuziqi Yang1, Zekai Hua2, Liang Li3

  • 1College of Economics and Management, Northwest A&F University, Yangling, 712100, Shaanxi, China. yxzq@nwafu.edu.cn.

Scientific reports
|February 20, 2024
PubMed
概括

本研究介绍了一种基于多源信息融合的作物产量预测 (CYP) 随机森林模型. 该模型在预测玉米产量方面取得了很高的准确性,优于其他方法,并且随着更大的田地尺寸的提高而得到改善.

关键词:
农业和林业经济管理 农业和林业经济管理玉米的收益率 玉米的收益率农作物产量预测模型多种来源的信息融合.随机的森林 随机的森林

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