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Agri-Tech Ecosystems: The Sustainable Agriculture by Smart Digital Innovations and Global Drivers

  • Srikanta Kumar Mohapatra,
  • Jayashree Mohanty,
  • Sumant Kumar Mohapatra,
  • Htet Ne Oo

摘要

Agri-tech is experiencing significant growth through the integration of emerging technologies such as the Internet of Things (IoT), robotics, Artificial Intelligence (AI), blockchain, and cloud infrastructure. Decision-making in this sector increasingly relies on data related to climate change, food demand, resource management, and data analysis. Consequently, many developed countries are prioritizing support for smallholder farmers by leveraging these advanced digital technologies. However, key challenges persist, including data availability, cybersecurity concerns, infrastructure limitations, and user adoption. In this context, smart Agri-tech encompasses smart sensing networks, edge cloud infrastructures, predictive analytics frameworks, and data integration. These systems are designed to deploy and operate technologies efficiently, while integrating sustainable solutions to address future food production needs and enhance Agri-tech environments. The primary objective of the Agri-tech ecosystem is to establish a robust, technology-driven environment that meets user requirements and addresses ongoing challenges.