Digital Transformation of Livestock Farming for Sustainable Development

Abstract

With the increasing global population, livestock farming must adapt to the growing demands for food while increasing productivity more efficiently. At the same time, worries about animal welfare, environmental sustainability, and public health must be addressed. The objective of this article is to present an overview of recent developments in using biometric devices, big data, and blockchain technology to digitize animal husbandry in Precision Livestock Farming (PLF). Biometric sensors are devices that monitor the health and behavior of an individual animal. Farmers may use this information for doing population-level analysis. Big data analytics systems use statistical algorithms to analyze large and complex data sets, identifying relevant trending patterns and providing guidance on decisions for farmers. These systems analyze and combine data from biometric sensors. Blockchain technology with sensors makes it safe and easy to track animal products from the farm to the table. This is an effective way to monitor disease outbreaks, prevent economic losses, and mitigate food-related health pandemics. The adoption of PLF technologies throughout the livestock sector can help to achieve sustainable development.