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农业领域音频信息技术研究进展

余礼根 李奇峰 庄晏榕 邱枫 丁晓丽 何金 赵宇杰 杨淦 吴月 赵春江

农业机械学报2025,Vol.56Issue(10):223-248,26.
农业机械学报2025,Vol.56Issue(10):223-248,26.DOI:10.6041/j.issn.1000-1298.2025.10.021

农业领域音频信息技术研究进展

Research Progress of Audio Information Technology in Agricultural Field

余礼根 1李奇峰 1庄晏榕 1邱枫 1丁晓丽 1何金 1赵宇杰 1杨淦 1吴月 1赵春江1

作者信息

  • 1. 北京市农林科学院信息技术研究中心,北京 100097||国家农业信息化工程技术研究中心,北京 100097
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摘要

Abstract

Audio technology,as a vital modality for agricultural information perception,offers significant advantages,including non-invasiveness,strong real-time responsiveness,and low implementation cost.These features enabled its broad application potential in the context of smart agriculture.A comprehensive review of recent advancements and representative applications of audio technology in both livestock farming and plants production was provided.In the domain of animal husbandry,it highlighted audio-based methods for recognizing feeding,estrus,drinking,and egg-laying behaviors,along with key techniques for emotion assessment,stress monitoring,disease detection,voiceprint identification,and sound source localization.In the plants sector,the acoustic emission mechanisms under abiotic stresses such as drought and freezing were covered,the regulatory effects of specific sound frequencies on plant physiology and gene expression were explored.Additionally,the current status of intelligent voice interaction systems in agriculture was outlined,including their roles in information services,machinery control,and voice-based consultation.Finally,it emphasized future research directions,advocating for the development of multimodal sensing integration,edge computing optimization,and standardized audio data platforms to advance the intelligent,efficient,and scalable application of audio technologies in modem agricultural systems.

关键词

智慧农业/畜禽养殖/种植业/音频信息技术/智能语音交互

Key words

smart agriculture/livestock and poultry farming/plant production/audio information technology/voice interaction

分类

农业科技

引用本文复制引用

余礼根,李奇峰,庄晏榕,邱枫,丁晓丽,何金,赵宇杰,杨淦,吴月,赵春江..农业领域音频信息技术研究进展[J].农业机械学报,2025,56(10):223-248,26.

基金项目

新一代人工智能国家科技重大专项(2021ZD0113803)和现代农业产业技术体系北京市智慧农业创新团队项目(BAIC10-2025-E04) (2021ZD0113803)

农业机械学报

OA北大核心

1000-1298

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