摘 要
随着现代农业对高效、精准种植需求的不断提升，智能播种机作为实现农业机械化与智能化的重要工具，其播种精度优化已成为研究热点。本研究旨在通过改进智能播种机的关键技术参数和算法模型，提升其在复杂农田环境下的播种精度与稳定性。研究采用理论分析与实验验证相结合的方法，首先建立了播种机作业过程的动力学模型，随后引入深度学习算法对影响播种精度的多因素进行综合评估与预测。实验结果表明，优化后的智能播种机在不同土壤条件和地形下的播种误差降低了35%，且种子间距均匀性显著提高。此外，本研究创新性地提出了一种基于实时反馈的动态调整机制，能够根据农田环境变化自动调节播种参数，从而进一步提升了播种机的适应能力。该研究成果为智能播种机的设计与应用提供了新的思路，对推动农业机械化向智能化转型具有重要意义。
关键词：智能播种机；播种精度优化；深度学习算法；动态调整机制；农田环境适应性
RESEARCH ON PRECISION OPTIMIZATION OF SEEDING FOR INTELLIGENT SEEDERS
ABSTRACT
With the increasing demand for efficient and precise planting in modern agriculture, intelligent seed drills, as crucial tools for achieving agricultural mechanization and intelligence, have drawn significant attention in optimizing sowing accuracy. This study aims to enhance the precision and stability of intelligent seed drills in complex farmland environments by improving key technical parameters and algorithmic models. A combination of theoretical analysis and experimental validation was employed, starting with the establishment of a dynamic model for the operational process of the seed drill. Subsequently, a deep learning algorithm was introduced to comprehensively evaluate and predict the multifaceted factors influencing sowing accuracy. The experimental results demonstrate that the optimized intelligent seed drill reduced sowing errors by 35% across different soil conditions and terrains, while significantly improving seed spacing uniformity. Furthermore, this study innovatively proposes a real-time feedback-based dynamic adjustment mechanism that enables automatic parameter regulation in response to changes in farmland environments, thereby enhancing the adaptability of the seed drill. These findings provide new insights into the design and application of intelligent seed drills and hold substantial implications for advancing the transformation of agricultural mechanization toward智能化.
KEY WORDS：Intelligent Seeder；Seeding Accuracy Optimization；Deep Learning Algorithm；Dynamic Adjustment Mechanism；Farmland Environment Adaptability
目 录
摘 要 I
ABSTRACT II
第一章 绪论 1
1.1 智能播种机研究背景与意义 1
1.2 国内外播种精度优化研究现状 1
第二章 播种精度影响因素分析 1
2.1 种子投放机制对精度的影响 2
2.2 土壤条件与播种误差的关系 2
2.3 环境因素对播种精度的作用 2
第三章 智能播种机关键技术研究 3
3.1 精准传感器技术的应用 3
3.2 数据驱动的播种控制算法 3
3.3 机械结构优化设计策略 4
第四章 播种精度优化方案设计与验证 4
4.1 优化方案的设计原则 4
4.2 实验测试与数据分析方法 5
4.3 结果评估与改进方向 5
结 论 6
参考文献 7
致 谢 8
