Today, technology is pioneering radical changes in the agriculture and livestock sectors as in all areas of life. One of the most important actors of this change is undoubtedly artificial intelligence. Artificial intelligence, which has developed at an extraordinary pace in recent years, opens the doors of a new era in the animal nutrition industry with data analysis, automation and intelligent decision support systems.
It would not be an exaggeration to say that having the right data and analysing them efficiently is the key to success today. As many experts say, ‘you cannot manage what you cannot measure’. Artificial intelligence offers a great advantage at this point.
For example, by quickly analysing large data sets, artificial intelligence can provide a wide range of information, from the health status of animals to their nutrition habits. Thus, farmers are able to feed more precisely in accordance with the nutritional needs of their animals. This is a significant factor that improves the overall health and productivity of animals, while at the same time helping to reduce costs and minimise environmental impact. In other words, artificial intelligence can act as a kind of verifier/controller of the steps taken towards sustainability in the animal nutrition industry.
Artificial intelligence is also vital in disease detection and biosecurity. Early diagnosis and rapid intervention can make a big difference in preventing outbreaks and protecting animal welfare. In addition, thanks to AI-supported monitoring systems, biosecurity levels on farms can be kept under constant control. For example, as in toxin management, which is the issue focus of this month. Thanks to the digital technologies and datasets developed by industry leaders utilising artificial intelligence, many farmers today have quick and reliable access to information on which cereal crops or regions are at high risk of mycotoxins. This information is critical for taking the necessary precautions for human and animal health.
Artificial intelligence is a technology that has the potential to revolutionise the animal nutrition industry. With the advantages it offers in areas such as productivity, sustainability and animal welfare, it will shape the future of the industry and lead the smart management of agriculture.
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