{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T11:21:35Z","timestamp":1780399295032,"version":"3.54.1"},"publisher-location":"Singapore","reference-count":16,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819200733","type":"print"},{"value":"9789819200740","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026]]},"DOI":"10.1007\/978-981-92-0074-0_21","type":"book-chapter","created":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T10:55:38Z","timestamp":1780397738000},"page":"294-308","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["An AI-Based Non-contact Framework for Swine Body Length Estimation and Activity Tracking in Smart Farming"],"prefix":"10.1007","author":[{"given":"Chih-Yang","family":"Chiang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Min-Jing","family":"Lin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2458-471X","authenticated-orcid":false,"given":"Min-Hsiung","family":"Hung","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1707-8800","authenticated-orcid":false,"given":"Yu-Chuan","family":"Lin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-5486-932X","authenticated-orcid":false,"given":"Narn-Yih","family":"Lee","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3773-9071","authenticated-orcid":false,"given":"Chao-Chun","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,6,1]]},"reference":[{"key":"21_CR1","unstructured":"Global Views Monthly, Analysis of Dietary Preference Shifts in Taiwan's Meat Consumption, Industry Analysis Report (Sep. 2022). (in Chinese)"},{"key":"21_CR2","unstructured":"Ministry of Agriculture (MOA), Annual Statistical Report on Pig Inventory and Farm Scales, Government Statistics (Jan. 2024). (in Chinese)"},{"key":"21_CR3","unstructured":"Council of Agriculture, Strategic Plan for the Transformation and Upgrading of the Pig Industry, Government Policy Paper, Ministry of Agriculture (July 2023). (in Chinese)"},{"key":"21_CR4","unstructured":"Hsu, T.W.:\u00a0 Biosecurity and Epidemic Prevention Protocols for Livestock Farms, Bureau of Animal and Plant Health Inspection and Quarantine Technical Guide (Nov. 2015) . (in Chinese)"},{"key":"21_CR5","unstructured":"Central News Agency, Projection of Pig Industry Standardization and Disease Control Milestones by 2025, Industry News Brief (Dec. 2023). (in Chinese)"},{"key":"21_CR6","doi-asserted-by":"crossref","unstructured":"Chen, Y.-R., et al.: An AI-based System for Monitoring Behavior and Growth of Pigs, 2020 International Computer Symposium (ICS) (Dec. 2020)","DOI":"10.1109\/ICS51289.2020.00027"},{"key":"21_CR7","doi-asserted-by":"crossref","unstructured":"Shukla, G., Gowri, K., Sudhamsu, G.: Fostering smart agriculture: using vision-based AI for livestock managing. In:\u00a0 2023 International Conference on Advances in Computation, Communication and Information Technology (ICAICCIT) (Nov. 2023)","DOI":"10.1109\/ICAICCIT60255.2023.10465732"},{"key":"21_CR8","unstructured":"Jocher,\u00a0G., et al.: Ultralytics YOLOv11: Real-time Object Detection Architecture Software Version 11.0, Ultralytics (2024). https:\/\/docs.ultralytics.com\/models\/yolo11\/"},{"key":"21_CR9","unstructured":"Birkl, R.:\u00a0 MiDaS: Mixing Data Samples for Zero-shot Cross-dataset Transfer, Model Repository & Documentation (July 2023). https:\/\/github.com\/isl-org\/MiDaS"},{"key":"21_CR10","unstructured":"Aharon, N., Orfaig, R., Bobrovsky, B.-Z.: BoT-SORT: Robust Associations Multi-Pedestrian Tracking. Tel-Aviv University, School of Electrical Engineering (July 2022)"},{"key":"21_CR11","doi-asserted-by":"crossref","unstructured":"Ariyadech, S., Bonde, A.,\u00a0 Sangpetch, O., Woramontri, W., Siripaktanakon, W.,\u00a0 Pan, S.: Dependable sensing system for pig farming. In:\u00a0 2019 IEEE Global Conference on Internet of Things (GCIoT) (Dec. 2019)","DOI":"10.1109\/GCIoT47977.2019.9058398"},{"key":"21_CR12","doi-asserted-by":"crossref","unstructured":"Wang, X., Cheng, X., Zhao, M.: Automatic pig counting based on video detection and tracking algorithm. In: 2022 4th International Conference on Frontiers Technology of Information and Computer (ICFTIC) (Dec. 2022)","DOI":"10.1109\/ICFTIC57696.2022.10075234"},{"key":"21_CR13","unstructured":"Vina, A.:\u00a0 Deep Learning Approaches for Livestock Behavior Monitoring\u00a0 Ultralytics Technical Report (May 2024). https:\/\/www.ultralytics.com\/zh\/blog\/monitoring-animal-behavior-using-ultralytics-yolov8"},{"key":"21_CR14","doi-asserted-by":"crossref","unstructured":"Yang, Q.,\u00a0 Hui, X.,\u00a0 Huang, Y., Chen, M., Huang, S., Xiao, D.: A long-term video tracking method for group-housed pigs. College of Mathematics and Informatics, South China Agricultural University (May 2024)","DOI":"10.3390\/ani14101505"},{"key":"21_CR15","doi-asserted-by":"crossref","unstructured":"Shi, K., Geng, Y.,\u00a0 Liu, S.,\u00a0 Fu, Y.: Automatic measurement method of pig body size based on improved point transformer segmentation network. In: 2024 International Conference on Image Processing, Computer Vision and Machine Learning (ICICML) (Nov. 2024)","DOI":"10.1109\/ICICML63543.2024.10957901"},{"key":"21_CR16","unstructured":"Peng, L.-J.:\u00a0Monocular depth image distance prediction combining Mask R-CNN and MiDaS, Master's Thesis, National Kaohsiung University of Science and Technology (July 2022). (in Chinese)"}],"container-title":["Lecture Notes in Computer Science","Intelligent Information and Database Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-92-0074-0_21","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T10:55:48Z","timestamp":1780397748000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-92-0074-0_21"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9789819200733","9789819200740"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-981-92-0074-0_21","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"1 June 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ACIIDS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Asian Conference on Intelligent Information and Database Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Kaohsiung","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Taiwan","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2026","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 April 2026","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 April 2026","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aciids2026","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/aciids.pwr.edu.pl\/2026\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}