# Application and prospect of intelligent voice technology in the field of agricultural machinery

**Authors:** Xue-ming Xu, Lin Wang, An-qi Zhang, Xiao-fei An, Hao Wang, Xiao-yu Zhu

PMC · DOI: 10.3389/fpls.2025.1652289 · Frontiers in Plant Science · 2025-10-27

## TL;DR

This paper explores how voice technology can improve agricultural machinery by reducing workload and increasing safety, while addressing challenges and suggesting future developments.

## Contribution

The paper proposes a framework and technical plans for voice technology in agricultural machinery, along with development suggestions for future applications.

## Key findings

- Intelligent voice technology can reduce operator workload and improve operational safety in agricultural machinery.
- A framework and technical implementation plans for intelligent control and fault diagnosis are proposed.
- Development suggestions include specialized vocabularies and AI integration for voice technology in agriculture.

## Abstract

With the development of smart agricultural machinery technology, the application of intelligent voice technology in smart agricultural machinery is becoming increasingly widespread. As a new interactive method, intelligent voice technology can reduce operator workload, improve operational quality, and enhance operational safety in agricultural machinery. This article reviews the current state of development of intelligent voice technology in agriculture, summarizing the bottlenecks and challenges in its application within the agricultural machinery field. It further proposes a framework for intelligent voice technology in agricultural machinery and presents technical implementation plans for two typical application scenarios: intelligent control and fault diagnosis/early warning of agricultural machinery. These findings aim to provide a reference for the application of intelligent voice technology in the agricultural machinery sector. Finally, development suggestions are proposed, including building specialized voice recognition vocabularies and semantic parsing models, exploring the application of artificial intelligence in agricultural machinery voice technology, and establishing relevant technical standards for intelligent voice applications in agricultural machinery. This article provides important references and insightful ideas for the development of intelligent voice technology in the agricultural machinery field, which will facilitate the promotion and adoption of intelligent agricultural machinery technologies.

## Full-text entities

- **Diseases:** avian influenza (MESH:D005585), fatigue failure (MESH:D051437), fatigue (MESH:D005221), Newcastle disease (MESH:D009521), X-FA (MESH:C565561), bronchitis (MESH:D001991), cough (MESH:D003371), disabilities (MESH:D009069)
- **Species:** Sus scrofa (pig, species) [taxon 9823], Homo sapiens (human, species) [taxon 9606], Bos taurus (bovine, species) [taxon 9913], Gallus gallus (bantam, species) [taxon 9031]
- **Cell lines:** MX — Mus musculus (Mouse), Hybridoma (CVCL_KC00)

## Full text

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## Figures

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## References

55 references — full list in the complete paper: https://tomesphere.com/paper/PMC12598043/full.md

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Source: https://tomesphere.com/paper/PMC12598043