针对传统食品图像识别方法提取特征能力差、准确率差、运行效率差和卷积神经网络识别相似食品图像难度大等问题,提出了一种新的食品图像识别模型China Food-CNN,以实现对食物的精准分类;在多分类损失函数Softmax With Loss的基础上,针...针对传统食品图像识别方法提取特征能力差、准确率差、运行效率差和卷积神经网络识别相似食品图像难度大等问题,提出了一种新的食品图像识别模型China Food-CNN,以实现对食物的精准分类;在多分类损失函数Softmax With Loss的基础上,针对食品图像类间相似性大的问题,提出了最大类间距损失函数(MCSWithLoss),以增大相似类之间的距离,实现相似类的区分;针对随机选取样本时的训练集冗余问题,在网络模型训练时使用负样本选择算法.实验结果表明:China Food-CNN模型对食品图像的识别准确率达69.2%,分别比Alex Net、VGG16、Res Net模型提升了17.6%、16.8%和3.6%.展开更多
Major disease outbreaks, increasing demand for animal food products, intensification of animal production systems, increased consumer awareness about food quality and safety, as well as heightened consciousness about ...Major disease outbreaks, increasing demand for animal food products, intensification of animal production systems, increased consumer awareness about food quality and safety, as well as heightened consciousness about animal welfare issues has seen the need for more reliable animal identification in Turkey＇s animal production system. Animal identification and traceability systems have seen rapid development in the world＇s main livestock producing nations and have been recognised by the main food, health and livestock trading authorities. The benefit of this system affects all the participants in the food chain （farm to fork） by limiting the spread of animal disease, assuring food safety and quality, minimizing the potential trade loss and minimizing government control. Electronic identification （EID） is one of the main technologies adopted, whereby each individual animal is identified and traced through a unique identification number saved on an electronic transponder （eartag or bolus）. The present animal identification and registration system in Turkey does not use an electronic identification tool and is administered manually which often causes unreliable and incorrect results. Concerns for animal and human health, as well as food safety assurance, have motivated efforts in Turkey to intensify animal identification system. This paper has provided the basis for how animals can be accurately traced and monitored from their birth until their slaughter, tracking every single parameter that could be of interest： animal health history, disease control, milk/meat/wool production and nutrition. This study summarizes information on EID available from around the world, discusses the advantages and challenges in its application in Turkey and provides recommendations as to the systems suitability to upgrade the present status of the Turkish National Livestock Identification System.展开更多
文摘Major disease outbreaks, increasing demand for animal food products, intensification of animal production systems, increased consumer awareness about food quality and safety, as well as heightened consciousness about animal welfare issues has seen the need for more reliable animal identification in Turkey＇s animal production system. Animal identification and traceability systems have seen rapid development in the world＇s main livestock producing nations and have been recognised by the main food, health and livestock trading authorities. The benefit of this system affects all the participants in the food chain （farm to fork） by limiting the spread of animal disease, assuring food safety and quality, minimizing the potential trade loss and minimizing government control. Electronic identification （EID） is one of the main technologies adopted, whereby each individual animal is identified and traced through a unique identification number saved on an electronic transponder （eartag or bolus）. The present animal identification and registration system in Turkey does not use an electronic identification tool and is administered manually which often causes unreliable and incorrect results. Concerns for animal and human health, as well as food safety assurance, have motivated efforts in Turkey to intensify animal identification system. This paper has provided the basis for how animals can be accurately traced and monitored from their birth until their slaughter, tracking every single parameter that could be of interest： animal health history, disease control, milk/meat/wool production and nutrition. This study summarizes information on EID available from around the world, discusses the advantages and challenges in its application in Turkey and provides recommendations as to the systems suitability to upgrade the present status of the Turkish National Livestock Identification System.
