China Swine Industry ›› 2024, Vol. 19 ›› Issue (1): 73-83.doi: 10.16174/j.issn.1673-4645.2024.01.011
• Digital Intelligent Equipment Process • Previous Articles Next Articles
| [1] 张建龙, 庄晏榕, 周康, 等. 基于机器视觉的育肥猪分群系统设计与试验[J]. 农业工程学报, 2020, 36(17):174-181. Zhang JL, Zhuang YR, Zhou K, et al. Design of automatic group sorting system for fattening pigs based on machine vision [J]. Transactions of the Chinese Society of Agricultural Engineering, 2020, 36(17):174-181. [2] Li YZ, Zhang HF, Lee J, et al. Understanding Tail-Biting in pigs through social network analysis [J]. Animals an Open Access Journal from Mdpi, 2018, 8(1):13. [3] Diane W, Nicole K, Eckhard S, et al. Characterisation of sows' postures and posture changes with regard to crushing piglets [J]. Applied Animal Behaviour Science, 2009, 119 (1-2):49-55. [4] Alonso-Spilsbury M, Ramirez-Necoechea R, Gonzlez-Lozano M, et al. Piglet survival in early lactation: a review[J]. Journal of Animal and Veterinary Advances, 2007, 6(1):76-86. [5] Skok J, Skorjanc D. Group suckling cohesion as aprelude to the formation of teat order in piglets[J]. Applied Animal Behaviour Science, 2014(154):15-21. [6] 张相鑫, Birgitte Ask. 通过育种改良猪的社交行为[J]. 国外畜牧学(猪与禽), 2021, 41(5):4-6. Zhang XX, Birgitte Ask. Breeding for improved social behaviour[J]. Animal Science Abroad(Pigs and Poultry), 2021, 41(5):4-6. [7] 张振玲, 石丰运, Salazar LC, 等. “仔猪早期社会化”——规模猪场提高仔猪社交技能的策略[J]. 猪业科学, 2020, 37(3):27-31. Zhang ZL, Shi FY, Salazar LC, et al. "Early socialization of piglets"——a strategy for large-scale pig farms to improve piglets' social skills[J]. Swine Industry Science, 2020, 37(3):27-31. [8] Kauppinen T, Vesala KM, Valros A. Farmer attitude toward improvement of animal welfare is correlated with piglet production parameters[J]. Livestock Science, 2012, 143(2-3):142-150. [9] Vigors B, Wemelsfelder F, Lawrence A B. What symbolises a "good farmer" when it comes to farm animal welfare[J]. Journal of Rural Studies, 2023(98):159-170. [10] Kathrin B, Scheffler K, Irena C, et al. Network characteristics and development of social structure of agonistic behaviour in pigs across three repeated rehousing and mixing events [J]. Applied Animal Behaviour Science, 2015(168):24-30. [11] 孙钰, 周焱, 袁明帅, 等. 基于深度学习的森林虫害无人机实时监测方法[J]. 农业工程学报, 2018, 34(21):74-81. Sun Y, Zhou Y, Yuan MS, et al. UAV real-time monitoring for forest pestbased on deep learning [J]. Transactions of the Chinese Society of Agricultural Engineering, 2018, 34(21):74-81. [12] Krizhevsky A, Sutskever I, Hinton G. ImageNet classification with deep convolutional neural networks [J]. Advances in Neural Information Processing Systems, 2012, 25(2):1097-1105. [13] Ren S, He K, Girshick R, et al. Faster R-CNN: towards real-time object detection with region proposal networks[J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 2017, 39(6):1137-1149. [14] Zeiler MD, Fergus R. Visualizing and understanding convolutional networks[C]// In: ECCV 2014, 2014. [15] Zhang Z, Fidler S, Urtasun R. Instance-level segmentation for autonomous driving with deep densely connected MRFs[J]. Computer Science, 2015. doi: 10.1007/978-3-319-46466-4_19. [16] Shao HM, Pu JY, Mu J. Pig-posture recognition based on computer vision: dataset and exploration[J]. Animals, 2021, 11(5):1295. [17] Zheng C, Zhu XM, Yang XF, et al. Automatic recognition of lactating sow postures from depth images by deep learning detector[J]. Computers and Electronics in Agriculture, 2018(147):51-63. [18] Shao B, Xin H. A real-time computer vision assessment and control of thermal comfort for group-housed pigs[J]. Computers and Electronics in Agriculture, 2008, 62(1):15-21. [19] Nasirahmadi A, Sturm B, Olsson AC, et al. Automatic scoring of lateral and sternal lying posture in grouped pigs using image processing and support vector machine [J].Computers and Electronics in Agriculture, 2019(156):475-481. [20] Xu J, Zhou S, Xia F, et al. Research on the lying pattern of grouped pigs using unsupervised clustering and deep learning[J]. Livestock Science, 2022(260):260. [21] Shin Y, Balasingham I. Comparison of hand-craft feature based SVM and CNN based deep learning framework for automatic polyp classification [J]. Conference of the IEEE Engineering in Medicine and Biology Society, 2017:3277-3280. [22] Wang Z, Bovik AC, Sheikh HR, et al. Image quality assessment: from error visibility to structural similarity [J]. IEEE Transactions on Image Processing, 2004, 13(4):600-612. [23] Wang CY, Bochkovskiy A, Liao HYM. YOLOv7:Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors[C]// In: arXiv.arXiv, 2022. [24] Durve M, Orsini S, Tiribocchi A, et al. Benchmarking YOLOv5 and YOLOv7 models with DeepSORT for droplet tracking applications[J]. The Europen Physical Journal E-Soft Matter, 2023. doi: 10.48550/arXiv.2301.08189. [25] Abdulnassar AA, Nair Latha R. Performance analysis of K-means with modified initial centroid selection algorithms and developed K-means9+ model [J]. Measurement: Sensors, 2023(25):100666. [26] Veit C, Foister S, Valros A, et al. The use of social network analysis to describe the effect of immune activation on group dynamics in pigs[J]. Animal, 2021, 15(9):100332. [27] Redmon J, Divvala S, Girshick R, et al. You only look once: unified, real-time object detection [C]// In: Computer Vision & Pattern Recognition.IEEE, 2016. [28] Wahjuni S, Wulandari, Nurarifah H. Faster RCNN based leaf segmentation using stereo images[J]. Journal of Agriculture and Food Research, 2023(11):100514. [29] Liu W, Anguelov D, Erhan D, et al. SSD: single shot multibox detector[C]// In: European conference on computer vision. Springer, Cham, 2016:21-37. [30] Bochkovskiy A, Wang CY, Liao HYM. YOLOv4: optimal speed and accuracy of object detection[J]. ArXiv. 2020. doi: 10.48550/arXiv.2004.10934. [31] 李晶, 顾宪红. 猪的异常行为与其福利水平[J]. 中国畜牧兽医, 2008, 35(7):141-145. Li J, Gu XH. The observation of abnormal behavior for assessing the animal welfare in pigs[J]. China Animal Husbandry & Veterinary Medicine, 2008, 35(7):141-145. |
| No related articles found! |