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| 1 | Real-time recognition of sows in video: A supervised approach显示文摘This paper proposes a supervised classification approach for the real-time pattern recognition of sows in an animal supervision system(asup).Our approach offers the possibility of the foreground subtraction in an asup’s image processing module where there is lack of statistical information regarding the background.A set of 7 farrowing sessions of sows,during day and night,have been captured(approximately 7 days/sow),which is used for this study.The frames of these recordings have been grabbed with a time shift of 20 s.A collection of 215 frames of 7 different sows with the same lighting condition have been marked and used as the training set.Based on small neighborhoods around a point,a number of image local features are defined,and their separability and performance metrics are compared.For the classification task,a feed-forward neural network(NN)is studied and a realistic configuration in terms of an acceptable level of accuracy and computation time is chosen.The results show that the dense neighborhood feature(d.3×3)is the smallest local set of features with an acceptable level of separability,while it has no negative effect on the complexity of NN.The results also confirm that a significant amount of the desired pattern is accurately detected,even in situations where a portion of the body of a sow is covered by the crate’s elements.The performance of the proposed feature set coupled with our chosen configuration reached the rate of 8.5 fps.The true positive rate(TPR)of the classifier is 84.6%,while the false negative rate(FNR)is only about 3%.A comparison between linear logistic regression and NN shows the highly non-linear nature of our proposed set of features. | Ehsan Khoramshahi Juha Hietaoja Anna Valros Jinhyeon Yun Matti Pastell | 2014 | Information Processing in Agriculture2014，1，1： | 3 |
| 2 | Tail biting and production performance in fattening pigs显示文摘 | Alina Sinisalo Jarkko K. Niemi Mari Heinonen Anna Valros | 2011 | Livestock Science2011，，2： | 1 |
| 3 | 产前絮窝行为对母猪分娩和哺乳的益处(综述)显示文摘众所周知,妊娠母猪天生就有在分娩前絮窝的习性。然而,在商业性生产条件下,现代养猪业广泛使用的产床由于饲养空间不足或絮窝材料缺乏,或两者都欠缺,抑制了母猪这种先天行为的表达。阻碍母猪表达絮窝行为将会给它们带来更多的应激,从而导致母体内源性激素水平下降。因此,它将会对母猪的分娩和泌乳性能造成不利的影响。本文我们将回顾妊娠母猪产前的絮窝行为、应激和母体内源性激素水平之间的相互作用,并讨论对分娩、哺乳和母猪及其后代福利的影响。 | 崔玮倩(译) 陈建康(校) Jinhyeon Yun Anna Valros | 2018 | 国外畜牧学(猪与禽)2018，38，8： | 0 |
| 4 | 健康状况不佳是导致咬尾的一个危险因素显示文摘在多篇系列文章中,顶级的动物福利研究人员解释了他们在国际项目“FareWellDock”内获得的结果。该计划调查如何才能不用进行断尾。挪威和芬兰的研究人员深入探讨了健康和咬尾之间的关系——这些现象是相互关联的吗?咬尾有害于动物福利,会对生产者的经济收益产生负面的影响。我们知道,咬尾是一个由多种因素引发的问题,营养、饲喂方案、猪圈设计、饲养密度和玩具的供应情况都会影响发生咬尾的净风险。健康状况不佳也被认为是一个重要的风险因素,但是现有的证据尚不足以证明两者之间的关系(图1)。 | 王晶晶(译) 陈建康(审) Janicke Nordgreen Andrew M.Janczak Camilla Munsterhjelm Mari Heinonen Anna Valros | 2018 | 国外畜牧学(猪与禽)2018，38，2： | 0 |
| 5 | 跛足和蹄损伤对母猪福利、健康和生产的影响显示文摘文章旨在综述跛足和蹄损伤对母猪福利、健康和生产的影响,研究表明母猪在群内跛足流行率相当高,一般为8.8%~16.9%,不仅会影响母猪的寿命,还会影响到母猪的生产性能。总之,母猪跛足是一个重要的福利和健康问题,它严重地影响母猪群的利用率。 | 白会新(编译) Mari Heinonen Olli Peltoniemi Anna Valros | 2016 | 猪业科学2016，33，2： | 0 |
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