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Forecasting the mechanical compaction influence on soybean yield using XGBoost-ANN

Na Qin Xiuli Zhou Kaiyu Wang Jinyou Qiao Hao Sun Dawei Wang Boxiang Wang

Information Processing in Agriculture2026，Vol.13Issue(1)：P.119-129,11.

Information Processing in Agriculture2026，Vol.13Issue(1)：P.119-129,11.DOI:10.1016/j.inpa.2025.09.002

Forecasting the mechanical compaction influence on soybean yield using XGBoost-ANN

Na Qin ¹Xiuli Zhou ¹Kaiyu Wang ¹Jinyou Qiao ²Hao Sun ³Dawei Wang ³Boxiang Wang³

作者信息

1. School of Electrical and Information,Northeast Agricultural University,Harbin 150030,China
2. College of Engineering,Northeast Agricultural University,Harbin 150030,China Heilongjiang Major Crop Production Mechanization Material Technology Innovation Center,China
3. College of Engineering,Northeast Agricultural University,Harbin 150030,China
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摘要

关键词

Mechanical compaction/Soybean yield/Machine learning/Yield forecast/Soil penetration resistance

分类

农业科技

引用本文复制引用

Na Qin,Xiuli Zhou,Kaiyu Wang,Jinyou Qiao,Hao Sun,Dawei Wang,Boxiang Wang..Forecasting the mechanical compaction influence on soybean yield using XGBoost-ANN[J].Information Processing in Agriculture,2026,13(1):P.119-129,11.

基金项目

supported by the National Key R&D Program of China[grant numbers 2021YFD2000405-2]. （）

Information Processing in Agriculture

ISSN：2097-0153

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