| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 2098824 | Trends in Food Science & Technology | 2013 | 7 Pages |
There is increased concern in our society regarding food production, animal welfare, food safety and traceability as well as environmental and climate change issues. Data collection, analysis and interpretation are crucial for the implementation of food safety controls, animal health, public health and environmental programs. Data Mining (DM), also known as Knowledge Discovering in Databases (KDD) has emerged as an important analyses method for the identification of relationships between various elements of the collected information in order to discover useful knowledge and support strategic decision making systems and sustainable development in the animal, food and health industries. This manuscript explores these important issues using examples related to the cattle industry.
► Efficient data mining and strategic decision making are crucial for the protection of animal health and public health. ► Technological innovation is key to manage high volumes of data, create knowledge capabilities and efficiently use knowledge. ► Efficient management of data in the cattle industry can provide firms with sustainable competitive advantage. ► Data integration and data mining are necessary to design efficient global food safety assurance systems. ► High levels of data management consistency are required to assess the efficiency of global health and food safety programs.
