Classifying Ingestive Behavior of Dairy Cows via Automatic Sound Recognition Li, Guoming Xiong, Yijie Du, Qian Shi, Zhengxiang Gates, Richard
dc.contributor.department Animal Science
dc.contributor.department Agricultural and Biosystems Engineering 2021-08-10T16:43:54.000 2021-08-14T00:17:08Z 2021-08-14T00:17:08Z Fri Jan 01 00:00:00 UTC 2021 2021-08-02
dc.description.abstract <p>Determining ingestive behaviors of dairy cows is critical to evaluate their productivity and health status. The objectives of this research were to (1) develop the relationship between forage species/heights and sound characteristics of three different ingestive behaviors (bites, chews, and chew-bites); (2) comparatively evaluate three deep learning models and optimization strategies for classifying the three behaviors; and (3) examine the ability of deep learning modeling for classifying the three ingestive behaviors under various forage characteristics. The results show that the amplitude and duration of the bite, chew, and chew-bite sounds were mostly larger for tall forages (tall fescue and alfalfa) compared to their counterparts. The long short-term memory network using a filtered dataset with balanced duration and imbalanced audio files offered better performance than its counterparts. The best classification performance was over 0.93, and the best and poorest performance difference was 0.4–0.5 under different forage species and heights. In conclusion, the deep learning technique could classify the dairy cow ingestive behaviors but was unable to differentiate between them under some forage characteristics using acoustic signals. Thus, while the developed tool is useful to support precision dairy cow management, it requires further improvement.</p>
dc.description.comments <p>This article is published as Li, Guoming, Yijie Xiong, Qian Du, Zhengxiang Shi, and Richard S. Gates. "Classifying Ingestive Behavior of Dairy Cows via Automatic Sound Recognition." <em>Sensors</em> 21, no. 15 (2021): 5231. DOI: <a href="" target="_blank">10.3390/s21155231</a>. Posted with permission.</p>
dc.format.mimetype application/pdf
dc.identifier archive/
dc.identifier.articleid 2522
dc.identifier.contextkey 24266208
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath abe_eng_pubs/1237
dc.language.iso en
dc.source.bitstream archive/|||Fri Jan 14 19:19:38 UTC 2022
dc.source.uri 10.3390/s21155231
dc.subject.disciplines Agriculture
dc.subject.disciplines Bioresource and Agricultural Engineering
dc.subject.disciplines Dairy Science
dc.subject.keywords audio
dc.subject.keywords dairy cow
dc.subject.keywords deep learning
dc.subject.keywords mastication
dc.subject.keywords jaw movement
dc.subject.keywords forage management
dc.subject.keywords precision livestock management
dc.title Classifying Ingestive Behavior of Dairy Cows via Automatic Sound Recognition
dc.type article
dc.type.genre article
dspace.entity.type Publication
relation.isAuthorOfPublication a61fa792-56f2-4397-8a9c-8cbde8d5c3f1
relation.isOrgUnitOfPublication 85ecce08-311a-441b-9c4d-ee2a3569506f
relation.isOrgUnitOfPublication 8eb24241-0d92-4baf-ae75-08f716d30801
Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
4.89 MB
Adobe Portable Document Format