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From Precision Agriculture to Agriculture 4.0: Integrating ICT in Farming

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Information and Communication Technologies for Agriculture—Theme III: Decision

Part of the book series: Springer Optimization and Its Applications ((SOIA,volume 184))

Abstract

The ever-increasing need for food worldwide, the scarcity of natural resources, and climate change call for drastic changes in conventional agricultural processes. Agriculture is called to adapt to the rapid evolution of technology by incorporating innovative technologies to the applied practices. To that end, Information and Communications Technologies (ICT), including sensors, robots, artificial intelligence, wireless sensor networks, and cloud computing constitute a family of technologies that can provide beneficial solutions that can contribute to the modernization of agricultural operations. The “big data,” produced by these technologies, are capable of helping towards this direction and facilitate the management of various fields of agricultural production. As a matter of fact, the next-generation technology standard, namely 5G, gives a plethora of new opportunities for farmers rendering itself a game changer for the ICT realization. This chapter focuses on prerequisites for the fourth agricultural revolution, namely Agriculture 4.0. It briefly describes the main Agricultural 4.0 components, as a means of giving an overview of this field in conjunction with the potential benefits in agriculture.

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Authors and Affiliations

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

    Lefteris Benos, Nikolaos Makaritis & Vasileios Kolorizos

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  1. Lefteris Benos
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  2. Nikolaos Makaritis
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  3. Vasileios Kolorizos
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Correspondence to Lefteris Benos .

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Editors and Affiliations

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

    Dionysis D. Bochtis

  2. Department of Electrical and Computer Engineering, University of Aarhus, Aarhus N, Denmark

    Claus Grøn Sørensen

  3. Department of Resources Management and Agricultural Engineering, Agricultural University of Athens, Athens, Greece

    Spyros Fountas

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

    Vasileios Moysiadis

  5. Department of Industrial and Systems Engineering, University of Florida, Gainesville, FL, USA

    Panos M. Pardalos

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Benos, L., Makaritis, N., Kolorizos, V. (2022). From Precision Agriculture to Agriculture 4.0: Integrating ICT in Farming. In: Bochtis, D.D., Sørensen, C.G., Fountas, S., Moysiadis, V., Pardalos, P.M. (eds) Information and Communication Technologies for Agriculture—Theme III: Decision. Springer Optimization and Its Applications, vol 184. Springer, Cham. https://doi.org/10.1007/978-3-030-84152-2_4

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