<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>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.</p>
</abstract>

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.

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

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

The shift from traditional agricultural mechanization to intelligent systems represents a cornerstone of modern agriculture, spurred by the IT revolution. This...

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

Online veröffentlicht: 01. Apr. 2024

Seitenbereich: -

Eingereicht: 05. Feb. 2024

Akzeptiert: 11. Feb. 2024

DOI: https://doi.org/10.2478/amns-2024-0824

Schlüsselwörter
Agricultural mechanization, Intelligent application, Particle filtering algorithm, Multi-feature fusion

© 2024 Yaping Zhao et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

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

Online veröffentlicht: 01. Apr. 2024

Seitenbereich: -

Eingereicht: 05. Feb. 2024

Akzeptiert: 11. Feb. 2024

DOI: https://doi.org/10.2478/amns-2024-0824

SchlüsselwörterAgricultural mechanization, Intelligent application, Particle filtering algorithm, Multi-feature fusion

© 2024 Yaping Zhao et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Agricultural mechanization, Intelligent application, Particle filtering algorithm, Multi-feature fusion