Application and Research on Measurement and Control Technology and Intelligentization of Agricultural Machinery in the Information Age

被引：0

作者：

Zhao Y. ^{[1
]}

Li W. ^{[2
]}

机构：

[1] Suzhou Polytechnic Institute of Agriculture, Jiangsu, Suzhou

[2] Suzhou Kingclean precision Machinery Co., Ltd., Jiangsu, Suzhou

来源：

Applied Mathematics and Nonlinear Sciences | 2024年 / 9卷 / 01期

关键词：

Agricultural mechanization; Intelligent application; Multi-feature fusion; Particle filtering algorithm;

D O I：

10.2478/amns-2024-0824

中图分类号：

学科分类号：

摘要：

The shift from traditional agricultural mechanization to intelligent systems represents a cornerstone of modern agriculture, spurred by the IT revolution. This study investigates how cutting-edge measurement and control technologies can elevate the efficiency and intelligence of agricultural machinery. By employing advanced algorithms like particle filtering and SO-CDKF, alongside multi-feature fusion technology, we significantly enhance the precision and responsiveness of these systems. Our findings show a 15% improvement in measurement accuracy and a 20% reduction in response times for intelligent applications, with further efficiency gains from optimizing the fusion process. This research underscores the potential of intelligent technologies to transform agriculture, offering vital insights for its future development. © 2023 Yaping Zhao and Wenfei Li, published by Sciendo.

引用