Application and prospect of intelligent voice technology in the field of agricultural machinery
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| Udgivet i: | Frontiers in Plant Science vol. 16 (Oct 2025), p. 1652289-1652300 |
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| Andre forfattere: | , , , , |
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Frontiers Media SA
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| Online adgang: | Citation/Abstract Full Text Full Text - PDF |
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| 001 | 3273798108 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 1664-462X | ||
| 024 | 7 | |a 10.3389/fpls.2025.1652289 |2 doi | |
| 035 | |a 3273798108 | ||
| 045 | 2 | |b d20251001 |b d20251031 | |
| 100 | 1 | |a Xue-ming, Xu |u School of Broadcast Announcing Arts, Communication University of Zhejiang, Hangzhou, China | |
| 245 | 1 | |a Application and prospect of intelligent voice technology in the field of agricultural machinery | |
| 260 | |b Frontiers Media SA |c Oct 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a 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. | |
| 653 | |a Language | ||
| 653 | |a Software | ||
| 653 | |a Livestock | ||
| 653 | |a Artificial intelligence | ||
| 653 | |a Deep learning | ||
| 653 | |a Agricultural production | ||
| 653 | |a Voice recognition | ||
| 653 | |a Agricultural technology | ||
| 653 | |a Signal processing | ||
| 653 | |a Agriculture | ||
| 653 | |a Noise | ||
| 653 | |a Human-computer interaction | ||
| 653 | |a Technology | ||
| 653 | |a Cognition & reasoning | ||
| 653 | |a Sound | ||
| 653 | |a Agricultural equipment | ||
| 653 | |a Fault diagnosis | ||
| 653 | |a Farming | ||
| 653 | |a Neural networks | ||
| 653 | |a Natural language processing | ||
| 653 | |a Farm machinery | ||
| 653 | |a Speech | ||
| 653 | |a Poultry | ||
| 653 | |a Semantics | ||
| 653 | |a Economic | ||
| 700 | 1 | |a Wang, Lin |u State Key Laboratory of Intelligent Agricultural Power Equipment, Beijing, China | |
| 700 | 1 | |a An-qi, Zhang |u Intelligent Equipment Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China | |
| 700 | 1 | |a Xiao-fei, An |u Intelligent Equipment Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China | |
| 700 | 1 | |a Wang, Hao |u Intelligent Equipment Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China | |
| 700 | 1 | |a Xiao-yu, Zhu |u Nongxin Technology(Beijing)Co., Ltd, Beijing, China | |
| 773 | 0 | |t Frontiers in Plant Science |g vol. 16 (Oct 2025), p. 1652289-1652300 | |
| 786 | 0 | |d ProQuest |t Agriculture Science Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3273798108/abstract/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text |u https://www.proquest.com/docview/3273798108/fulltext/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3273798108/fulltextPDF/embedded/6A8EOT78XXH2IG52?source=fedsrch |