This study aims to explain the latest digital technology trends in pig production in agricultural establishments that can be applied in a municipality in Mexico. The incorporation of technologies such as Artificial Intelligence (AI), the Internet of Things (IoT), and Blockchain has proven to increase biosecurity measures in pig farms, contributing to the prevention of associated diseases and improving the quality of meat production for the well-being of society. Based on this understanding, we have formulated a prototype proposal relevant to Mexico. Our proposal was structured using methodologies that included field visits to two pig farms located in Zapopan, Jalisco, interviews with specialists in veterinary medicine, and a review of relevant literature to understand the current global scenario regarding the digitalization of pig farms in search of the best practices to achieve a “smart farm”. Our results indicate the viability of integrating digital technologies into pig farming and the potential to expand this approach to other farms in Mexico. Specifically, we propose the implementation of IoT devices for monitoring NH3-CO2 levels and temperature, a mobile application for farm surveillance, and Blockchain technology for tracking the supply chain of raw materials and pharmaceuticals. Additionally, a microfluidic biosensor can be utilized for early detection of swine stress. To facilitate the widespread adoption of these technologies, we suggest promoting this type of initiative within the livestock industry and encouraging the integration of practices that prioritize technological advancements and animal welfare.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Technological Digitalization Model for Medium-Sized Pig Farms in Mexico

  • Hugo C. Enríquez García,
  • Javier G. Rodríguez Ruiz

摘要

This study aims to explain the latest digital technology trends in pig production in agricultural establishments that can be applied in a municipality in Mexico. The incorporation of technologies such as Artificial Intelligence (AI), the Internet of Things (IoT), and Blockchain has proven to increase biosecurity measures in pig farms, contributing to the prevention of associated diseases and improving the quality of meat production for the well-being of society. Based on this understanding, we have formulated a prototype proposal relevant to Mexico. Our proposal was structured using methodologies that included field visits to two pig farms located in Zapopan, Jalisco, interviews with specialists in veterinary medicine, and a review of relevant literature to understand the current global scenario regarding the digitalization of pig farms in search of the best practices to achieve a “smart farm”. Our results indicate the viability of integrating digital technologies into pig farming and the potential to expand this approach to other farms in Mexico. Specifically, we propose the implementation of IoT devices for monitoring NH3-CO2 levels and temperature, a mobile application for farm surveillance, and Blockchain technology for tracking the supply chain of raw materials and pharmaceuticals. Additionally, a microfluidic biosensor can be utilized for early detection of swine stress. To facilitate the widespread adoption of these technologies, we suggest promoting this type of initiative within the livestock industry and encouraging the integration of practices that prioritize technological advancements and animal welfare.