{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,9]],"date-time":"2026-07-09T14:16:36Z","timestamp":1783606596495,"version":"3.55.0"},"reference-count":34,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100011789","name":"Department of Science and Technology of Jilin Province","doi-asserted-by":"publisher","award":["20250203122SF"],"award-info":[{"award-number":["20250203122SF"]}],"id":[{"id":"10.13039\/501100011789","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Computers and Electronics in Agriculture"],"published-print":{"date-parts":[[2026,9]]},"DOI":"10.1016\/j.compag.2026.111991","type":"journal-article","created":{"date-parts":[[2026,6,9]],"date-time":"2026-06-09T14:32:31Z","timestamp":1781015551000},"page":"111991","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Quality-aware generative distillation for robust and efficient livestock detection"],"prefix":"10.1016","volume":"251","author":[{"given":"Jin","family":"Liu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Weinan","family":"Hong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lei","family":"Yao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fanrong","family":"Kong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1442-1530","authenticated-orcid":false,"given":"Zipei","family":"Fan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lin","family":"Lei","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuanqian","family":"Ma","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xinwei","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.compag.2026.111991_b1","series-title":"Synthetic data for computer vision in agriculture","author":"Afonso","year":"2023"},{"issue":"17","key":"10.1016\/j.compag.2026.111991_b2","doi-asserted-by":"crossref","first-page":"2508","DOI":"10.3390\/ani15172508","article-title":"Computer vision in dairy farm management: A literature review of current applications and future perspectives","volume":"15","author":"Antognoli","year":"2025","journal-title":"Animals"},{"key":"10.1016\/j.compag.2026.111991_b3","article-title":"On the application of image augmentation for plant disease detection: A systematic literature review","volume":"9","author":"Antwi","year":"2024","journal-title":"Smart Agric. Technol."},{"key":"10.1016\/j.compag.2026.111991_b4","doi-asserted-by":"crossref","DOI":"10.1016\/j.compag.2024.109718","article-title":"A systematic survey of public computer vision datasets for precision livestock farming","volume":"229","author":"Bhujel","year":"2025","journal-title":"Comput. Electron. Agric."},{"key":"10.1016\/j.compag.2026.111991_b5","doi-asserted-by":"crossref","DOI":"10.1016\/j.atech.2025.101208","article-title":"Computer vision in precision livestock farming: benchmarking YOLOv9, YOLOv10, YOLOv11, and YOLOv12 for individual cattle identification","author":"Bumb\u00e1lek","year":"2025","journal-title":"Smart Agric. Technol."},{"key":"10.1016\/j.compag.2026.111991_b6","doi-asserted-by":"crossref","unstructured":"Cheng, Bowen, Girshick, Ross, Doll\u00e1r, Piotr, Berg, Alexander C, Kirillov, Alexander, 2021. Boundary IoU: Improving object-centric image segmentation evaluation. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. pp. 15334\u201315342.","DOI":"10.1109\/CVPR46437.2021.01508"},{"key":"10.1016\/j.compag.2026.111991_b7","series-title":"Role of computer vision and deep learning algorithms in livestock behavioural recognition: A state-of-the-art-review","author":"Fatoki","year":"2024"},{"key":"10.1016\/j.compag.2026.111991_b8","doi-asserted-by":"crossref","DOI":"10.1016\/j.compag.2020.105826","article-title":"A systematic literature review on the use of machine learning in precision livestock farming","volume":"179","author":"Garc\u00eda","year":"2020","journal-title":"Comput. Electron. Agric."},{"key":"10.1016\/j.compag.2026.111991_b9","article-title":"Generate-paste-blend-detect: Synthetic dataset for object detection in the agriculture domain","volume":"5","author":"Giakoumoglou","year":"2023","journal-title":"Smart Agric. Technol."},{"key":"10.1016\/j.compag.2026.111991_b10","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"1780","article-title":"Zero-reference deep curve estimation for low-light image enhancement","author":"Guo","year":"2020"},{"key":"10.1016\/j.compag.2026.111991_b11","doi-asserted-by":"crossref","unstructured":"Gupta, Himanshu, Kotlyar, Oleksandr, Andreasson, Henrik, Lilienthal, Achim J, 2024. Robust object detection in challenging weather conditions. In: Proceedings of the IEEE\/CVF Winter Conference on Applications of Computer Vision. pp. 7523\u20137532.","DOI":"10.1109\/WACV57701.2024.00735"},{"key":"10.1016\/j.compag.2026.111991_b12","doi-asserted-by":"crossref","unstructured":"Hessel, Jack, Holtzman, Ari, Forbes, Maxwell, Le Bras, Ronan, Choi, Yejin, 2021. Clipscore: A reference-free evaluation metric for image captioning. In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. pp. 7514\u20137528.","DOI":"10.18653\/v1\/2021.emnlp-main.595"},{"key":"10.1016\/j.compag.2026.111991_b13","doi-asserted-by":"crossref","first-page":"87136","DOI":"10.52202\/079017-2765","article-title":"You only look around: learning illumination-invariant feature for low-light object detection","volume":"37","author":"Hong","year":"2024","journal-title":"Adv. Neural Inf. Process. Syst."},{"issue":"4","key":"10.1016\/j.compag.2026.111991_b14","doi-asserted-by":"crossref","first-page":"640","DOI":"10.3390\/ani14040640","article-title":"Smart dairy farming\u2014The potential of the automatic monitoring of dairy cows\u2019 behaviour using a 360-degree camera","volume":"14","author":"Kurras","year":"2024","journal-title":"Animals"},{"issue":"12","key":"10.1016\/j.compag.2026.111991_b15","doi-asserted-by":"crossref","first-page":"9396","DOI":"10.1109\/TPAMI.2021.3126387","article-title":"Low-light image and video enhancement using deep learning: A survey","volume":"44","author":"Li","year":"2021","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"8","key":"10.1016\/j.compag.2026.111991_b16","doi-asserted-by":"crossref","first-page":"10555","DOI":"10.1109\/TPAMI.2023.3257546","article-title":"When object detection meets knowledge distillation: A survey","volume":"45","author":"Li","year":"2023","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.compag.2026.111991_b17","series-title":"Proceedings of the AAAI Conference on Artificial Intelligence","first-page":"1792","article-title":"Image-adaptive YOLO for object detection in adverse weather conditions","volume":"vol. 36","author":"Liu","year":"2022"},{"key":"10.1016\/j.compag.2026.111991_b18","doi-asserted-by":"crossref","DOI":"10.1016\/j.compag.2022.107208","article-title":"Generative adversarial networks (GANs) for image augmentation in agriculture: A systematic review","volume":"200","author":"Lu","year":"2022","journal-title":"Comput. Electron. Agric."},{"key":"10.1016\/j.compag.2026.111991_b19","doi-asserted-by":"crossref","unstructured":"Ma, Long, Ma, Tengyu, Liu, Risheng, Fan, Xin, Luo, Zhongxuan, 2022. Toward fast, flexible, and robust low-light image enhancement. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. pp. 5637\u20135646.","DOI":"10.1109\/CVPR52688.2022.00555"},{"issue":"5","key":"10.1016\/j.compag.2026.111991_b20","doi-asserted-by":"crossref","first-page":"1504","DOI":"10.3390\/s24051504","article-title":"Computer-vision-based sensing technologies for livestock body dimension measurement: a survey","volume":"24","author":"Ma","year":"2024","journal-title":"Sensors"},{"key":"10.1016\/j.compag.2026.111991_b21","article-title":"A survey on knowledge distillation: Recent advancements","volume":"18","author":"Moslemi","year":"2024","journal-title":"Mach. Learn. Appl."},{"key":"10.1016\/j.compag.2026.111991_b22","article-title":"A review of deep learning algorithms for computer vision systems in livestock","volume":"253","author":"Oliveira","year":"2021","journal-title":"Livest. Sci."},{"key":"10.1016\/j.compag.2026.111991_b23","series-title":"International Conference on Machine Learning","first-page":"8748","article-title":"Learning transferable visual models from natural language supervision","author":"Radford","year":"2021"},{"key":"10.1016\/j.compag.2026.111991_b24","doi-asserted-by":"crossref","first-page":"179912","DOI":"10.1109\/ACCESS.2024.3505989","article-title":"Generative adversarial networks (GANs) for image augmentation in farming: A review","volume":"12","author":"Rahman","year":"2024","journal-title":"IEEE Access"},{"key":"10.1016\/j.compag.2026.111991_b25","series-title":"2024 IEEE 20th International Conference on Automation Science and Engineering","first-page":"71","article-title":"Self-supervised data generation for precision agriculture: Blending simulated environments with real imagery","author":"Saraceni","year":"2024"},{"key":"10.1016\/j.compag.2026.111991_b26","doi-asserted-by":"crossref","DOI":"10.1016\/j.compag.2021.106030","article-title":"A computer vision approach based on deep learning for the detection of dairy cows in free stall barn","volume":"182","author":"Tassinari","year":"2021","journal-title":"Comput. Electron. Agric."},{"issue":"1","key":"10.1016\/j.compag.2026.111991_b27","doi-asserted-by":"crossref","first-page":"173","DOI":"10.1038\/s42003-020-0905-5","article-title":"Training instance segmentation neural network with synthetic datasets for crop seed phenotyping","volume":"3","author":"Toda","year":"2020","journal-title":"Commun. Biology"},{"key":"10.1016\/j.compag.2026.111991_b28","series-title":"Proceedings of the AAAI Conference on Artificial Intelligence","first-page":"26187","article-title":"X-SAM: From segment anything to any segmentation","volume":"vol. 40","author":"Wang","year":"2026"},{"key":"10.1016\/j.compag.2026.111991_b29","doi-asserted-by":"crossref","DOI":"10.1109\/TGRS.2025.3576979","article-title":"Cross-level interaction and intra-level fusion network for remote sensing image dehazing","author":"Wen","year":"2025","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"10.1016\/j.compag.2026.111991_b30","doi-asserted-by":"crossref","DOI":"10.1109\/TMM.2025.3535316","article-title":"All-in-one weather-degraded image restoration via adaptive degradation-aware self-prompting model","author":"Wen","year":"2025","journal-title":"IEEE Trans. Multimed."},{"key":"10.1016\/j.compag.2026.111991_b31","article-title":"Structure-preserving frequency-regularized text-guided optimal transport for unpaired rain streaks and raindrops removal","author":"Wen","year":"2026","journal-title":"IEEE Trans. Multimed."},{"key":"10.1016\/j.compag.2026.111991_b32","first-page":"1","article-title":"Encoder-free multiaxis physics-aware fusion network for remote sensing image dehazing","volume":"61","author":"Wen","year":"2023","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"10.1016\/j.compag.2026.111991_b33","doi-asserted-by":"crossref","unstructured":"Zhang, Richard, Isola, Phillip, Efros, Alexei A, Shechtman, Eli, Wang, Oliver, 2018. The unreasonable effectiveness of deep features as a perceptual metric. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 586\u2013595.","DOI":"10.1109\/CVPR.2018.00068"},{"key":"10.1016\/j.compag.2026.111991_b34","doi-asserted-by":"crossref","unstructured":"Zheng, Zhaohui, Ye, Rongguang, Wang, Ping, Ren, Dongwei, Zuo, Wangmeng, Hou, Qibin, Cheng, Ming-Ming, 2022. Localization distillation for dense object detection. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. pp. 9407\u20139416.","DOI":"10.1109\/CVPR52688.2022.00919"}],"container-title":["Computers and Electronics in Agriculture"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0168169926005867?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0168169926005867?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,7,9]],"date-time":"2026-07-09T13:29:03Z","timestamp":1783603743000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0168169926005867"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,9]]},"references-count":34,"alternative-id":["S0168169926005867"],"URL":"https:\/\/doi.org\/10.1016\/j.compag.2026.111991","relation":{},"ISSN":["0168-1699"],"issn-type":[{"value":"0168-1699","type":"print"}],"subject":[],"published":{"date-parts":[[2026,9]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Quality-aware generative distillation for robust and efficient livestock detection","name":"articletitle","label":"Article Title"},{"value":"Computers and Electronics in Agriculture","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.compag.2026.111991","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Published by Elsevier B.V.","name":"copyright","label":"Copyright"}],"article-number":"111991"}}