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基于时空耦合的玉米播种位置预测系统设计与试验

贾麟 马飞扬 徐征鑫 张馨悦 徐子杨 王超 王庆杰 李洪文

农业机械学报2025,Vol.56Issue(6):146-154,9.
农业机械学报2025,Vol.56Issue(6):146-154,9.DOI:10.6041/j.issn.1000-1298.2025.06.014

基于时空耦合的玉米播种位置预测系统设计与试验

Design and Test of Maize Sowing Position Prediction System Based on Spatial-Temporal Coupling

贾麟 1马飞扬 2徐征鑫 1张馨悦 1徐子杨 3王超 1王庆杰 1李洪文1

作者信息

  • 1. 中国农业大学工学院,北京 100083||农业农村部保护性耕作农业装备重点实验室,北京 100083
  • 2. 中国农业大学工学院,北京 100083||中国农业大学农业水资源高效利用全国重点实验室,北京 100083
  • 3. 中国农业大学工学院,北京 100083
  • 折叠

摘要

Abstract

A maize sowing position prediction system based on spatial temporal coupling was designed for maize sowing process.The system integrated an opposed infrared photoelectric sensor,a GNSS-RTK high-precision positioning module and a data transmission unit to predict the spatial position of seed landing by real-time monitoring of seed falling signals and combining the sowing machine heading,speed and spatial-temporal lag compensation model,and data would eventually be uploaded to the cloud.The system adopted STM32F103 microcontroller as the central controller,and a segmented spatial position conversion model was constructed to solve the offset problem between the main antenna of the planter and the infrared sensors;the spatial temporal hysteresis compensation model was introduced,and the seed falling delay,the localization information transmission delay,and the program execution delay were measured to be 107.7 ms,50 ms,and 39.5 ms,respectively,and finally the position deviation of the planter's forward direction was corrected.The final shape of the coupled prediction model was clarified by formulating the directional response rules for the positive and negative values of latitude and longitude deviations in different intervals.The results of the field test showed that the average deviation of the seed landing position predicted by the system from the actual position was 36.86 mm,with a standard deviation of 3.57 mm and a coefficient of variation of 9.69%,which verified the effectiveness of the model.The system was capable of real-time recording and cloud storage of seeding position data,providing a reference for the subsequent precise and collaborative management of mid-tillage and fertilization.

关键词

玉米播种/空间位置/RTK定位/时空耦合/预测模型

Key words

maize sowing/spatial location/RTK positioning/spatial-temporal coupling/prediction models

分类

农业科技

引用本文复制引用

贾麟,马飞扬,徐征鑫,张馨悦,徐子杨,王超,王庆杰,李洪文..基于时空耦合的玉米播种位置预测系统设计与试验[J].农业机械学报,2025,56(6):146-154,9.

基金项目

国家重点研发计划项目(2024YFD1500405) (2024YFD1500405)

农业机械学报

OA北大核心

1000-1298

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