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Sustainability in the Digital Farming Era: A Cyber-Physical Analysis Approach for Drone Applications in Agriculture 4.0

In: Information and Communication Technologies for Agriculture—Theme IV: Actions

Author

Listed:
  • Naoum Tsolakis

    (Institute for Bio-Economy and Agri-Technology (iBO), Centre for Research and Technology Hellas (CERTH))

  • Dimitrios Bechtsis

    (International Hellenic University (IHU))

  • Giorgos Vasileiadis

    (Institute for Bio-Economy and Agri-Technology (iBO), Centre for Research and Technology Hellas (CERTH))

  • Ioannis Menexes

    (Institute for Bio-Economy and Agri-Technology (iBO), Centre for Research and Technology Hellas (CERTH))

  • Dionysis D. Bochtis

    (Institute for Bio-Economy and Agri-Technology (iBO), Centre for Research and Technology Hellas (CERTH))

Abstract

This research introduces an integrated approach for the ex-ante analysis of technology innovations in agriculture, like unmanned aerial vehicles (UAVs), to foster the envisaged sustainable transformation in farming operations. The strategic foresight process of global institutions recognizes the beneficial role of “digital twins” in agriculture for ensuring natural resources’ stewardship and farmers’ livelihood. However, farmers often encounter ambiguities in comprehending the operationalization of digital technologies in agricultural fields as the related scientific and experimental evidence myopically focus on the technical specifications of the respective machinery. Indicatively, the adoption of UAVs for informing decisions related to precision irrigation is often overlooked, while the pertinent literature is sparse and dispersed. This research facilitates the adoption of UAVs for freshwater stewardship in farming operations by: (i) identifying and summarizing advantages and disadvantages related to the utilization of UAVs (commonly known as drones) in agriculture; and (ii) examining “digital twins” in agriculture by proposing a cyber-physical analysis approach for UAVs supporting precision irrigation activities. Specifically, this research develops an emulation model that helps interrogate a UAV’s operational aspects with regard to monitoring water stress levels in an orchard and then implements equivalent real-world intelligent aerial systems for the autonomous identification of the water status of plants to inform precision irrigation operations in an agricultural field.

Suggested Citation

  • Naoum Tsolakis & Dimitrios Bechtsis & Giorgos Vasileiadis & Ioannis Menexes & Dionysis D. Bochtis, 2021. "Sustainability in the Digital Farming Era: A Cyber-Physical Analysis Approach for Drone Applications in Agriculture 4.0," Springer Optimization and Its Applications, in: Dionysis D. Bochtis & Simon Pearson & Maria Lampridi & Vasso Marinoudi & Panos M. Pardalos (ed.), Information and Communication Technologies for Agriculture—Theme IV: Actions, pages 29-53, Springer.
    • Handle: RePEc:spr:spochp:978-3-030-84156-0_2
    DOI: 10.1007/978-3-030-84156-0_2
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