Image Processing for Freshness Identification Tilapia Using Backpropagation Algorithm (Case Study: Binjai City Food Security and Agriculture Office)

Septian Hadi Keswara, Achmad Fauzi, Nurhayati, Stmik Kaputama
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Abstract

Tilapia (Oreochromis niloticus) is a type of fish that comes from rivers and lakes that connect the river. Tilapia was imported to Indonesia officially by the Freshwater Fisheries Research Institute in 1969, Tilapia fish breeds in Indonesia come from Taiwan as for the dark color with vertical stripes as many as 6-8 pieces and the Philippines which is red. The problems faced today related to testing the level of freshness still use conventional methods, namely by only seeing and sorting fish by sight or sight only.  This can certainly cause errors in choosing fish for ordinary people or who do not have expertise in choosing fresh fish. For this reason, a system is needed that can identify the freshness of tilapia using digital image management. Many methods are used in identifying an image, one of which is used by using the Backpropagation method.  
使用反向传播算法进行罗非鱼新鲜度识别的图像处理(案例研究:滨海市食品安全和农业办公室)
罗非鱼(Oreochromis niloticus)是一种产自河流和连接河流的湖泊的鱼类。罗非鱼于 1969 年由淡水渔业研究所正式进口到印尼,印尼的罗非鱼品种来自台湾,因为其颜色较深,带有多达 6-8 条的垂直条纹,而菲律宾的罗非鱼则是红色的。目前在检测鱼的新鲜程度方面所面临的问题仍然是使用传统方法,即仅通过目测或仅靠目测对鱼进行分类。 这对于普通人或不具备挑选鲜鱼专业知识的人来说,肯定会造成挑选错误。因此,需要一个能利用数字图像管理识别罗非鱼新鲜度的系统。识别图像的方法很多,其中之一是使用反向传播方法。
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