Sustainable livestock management is undergoing a transformative shift through the integration of biotechnology and the Internet of Things (IoT), addressing critical challenges related to animal health, environmental impact, and food production efficiency. This chapter explores how advanced technologies such as wearable sensors, real-time monitoring systems, and automated data analytics are revolutionizing the way farmers track and care for livestock. IoT enables continuous observation of animal vital signs, behavior, and environmental interactions, allowing for early disease detection, improved welfare, and optimized resource use. Simultaneously, biotechnology offers groundbreaking solutions including genetic improvements for disease resistance, enhanced productivity, and climate resilience, as well as sustainable breeding and nutrition strategies that reduce reliance on antibiotics and mitigate ecological damage. The chapter also highlights innovations such as precision feeding systems, AI-driven decision-making tools, and genomic editing technologies that further enhance livestock management practices. By combining biotechnology and IoT, farmers can achieve a precision-driven, data-informed, and ecologically responsible approach to livestock farming. This convergence supports animal welfare, boosts productivity, and significantly reduces the environmental footprint of animal agriculture. The chapter concludes by outlining how these technologies collectively contribute to building a more sustainable and resilient food system, while setting the stage for future discussions on ethics, regulation, and public acceptance in agricultural innovation.

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Biotechnology and IoT for Sustainable Livestock Management

  • Alok Kumar Srivastav,
  • Priyanka Das

摘要

Sustainable livestock management is undergoing a transformative shift through the integration of biotechnology and the Internet of Things (IoT), addressing critical challenges related to animal health, environmental impact, and food production efficiency. This chapter explores how advanced technologies such as wearable sensors, real-time monitoring systems, and automated data analytics are revolutionizing the way farmers track and care for livestock. IoT enables continuous observation of animal vital signs, behavior, and environmental interactions, allowing for early disease detection, improved welfare, and optimized resource use. Simultaneously, biotechnology offers groundbreaking solutions including genetic improvements for disease resistance, enhanced productivity, and climate resilience, as well as sustainable breeding and nutrition strategies that reduce reliance on antibiotics and mitigate ecological damage. The chapter also highlights innovations such as precision feeding systems, AI-driven decision-making tools, and genomic editing technologies that further enhance livestock management practices. By combining biotechnology and IoT, farmers can achieve a precision-driven, data-informed, and ecologically responsible approach to livestock farming. This convergence supports animal welfare, boosts productivity, and significantly reduces the environmental footprint of animal agriculture. The chapter concludes by outlining how these technologies collectively contribute to building a more sustainable and resilient food system, while setting the stage for future discussions on ethics, regulation, and public acceptance in agricultural innovation.