From Precision Agriculture to Agriculture 4.0: Integrating ICT in Farming

Benos, Lefteris; Makaritis, Nikolaos; Kolorizos, Vasileios

doi:10.1007/978-3-030-84152-2_4

Cited by 8 publications

(2 citation statements)

References 77 publications

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“…The common denominator among precision agriculture, livestock, and forestry lies in the shared pursuit of exploiting advanced technologies and data-driven approaches to optimize resource management and enhance the overall efficiency of both biotic and abiotic systems. Following the broader framework of the fourth industrial revolution, "Agriculture 4.0" [13,14] and "Forestry 4.0" [15,16] have emerged, constituting the evolution of respective precision concepts and ushering in a new era of "smart", interconnected, automated, and sustainable practices. This paradigm shift transforms conventional production methods, driving corporations towards elevated productivity, minimized expenses, and heightened innovation.…”

Section: Introduction 1broader Perspective and Motivationmentioning

confidence: 99%

Digital Twins in Agriculture and Forestry: A Review

Tagarakis,

Benos,

Kyriakarakos

et al. 2024

Sensors

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Digital twins aim to optimize practices implemented in various sectors by bridging the gap between the physical and digital worlds. Focusing on open-field agriculture, livestock farming, and forestry and reviewing the current applications in these domains, this paper reveals the multifaceted roles of digital twins. Diverse key aspects are examined, including digital twin integration and maturity level, means of data acquisition, technological capabilities, and commonly used input and output features. Through the prism of four primary research questions, the state of the art of digital twins, the extent of their achieved integration, and an overview of the critical issues and potential advancements are provided in the landscape of the sectors under consideration. The paper concludes that in spite of the remarkable progress, there is a long way towards achieving full digital twin. Challenges still persist, while the key factor seems to be the integration of expert knowledge from different stakeholders. In light of the constraints identified in the review analysis, a new sector-specific definition for digital twins is also suggested to align with the distinctive characteristics of intricate biotic and abiotic systems. This research is anticipated to serve as a useful reference for stakeholders, enhancing awareness of the considerable benefits associated with digital twins and promoting a more systematic and comprehensive exploration of this transformative topic.

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Section: Introduction 1broader Perspective and Motivationmentioning

confidence: 99%

Digital Twins in Agriculture and Forestry: A Review

Tagarakis,

Benos,

Kyriakarakos

et al. 2024

Sensors

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“…Robots are considered as an integral element of Agriculture 4.0, which comes as an evolution of precision agriculture, enabling farmers to utilize the minimum required quantities for specific areas. Agri-robots belong to a broad family of Information and Communications Technologies (ICT), also including, indicatively, wireless sensor networks, farm management information systems, cloud computing, big data, and artificial intelligence, that are prerequisites for the fourth agricultural revolution [ 5 , 6 ].…”

Section: Introductionmentioning

confidence: 99%

Human–Robot Interaction in Agriculture: A Systematic Review

Benos

Moysiadis

Kateris

et al. 2023

Sensors

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In the pursuit of optimizing the efficiency, flexibility, and adaptability of agricultural practices, human–robot interaction (HRI) has emerged in agriculture. Enabled by the ongoing advancement in information and communication technologies, this approach aspires to overcome the challenges originating from the inherent complex agricultural environments. Τhis paper systematically reviews the scholarly literature to capture the current progress and trends in this promising field as well as identify future research directions. It can be inferred that there is a growing interest in this field, which relies on combining perspectives from several disciplines to obtain a holistic understanding. The subject of the selected papers is mainly synergistic target detection, while simulation was the main methodology. Furthermore, melons, grapes, and strawberries were the crops with the highest interest for HRI applications. Finally, collaboration and cooperation were the most preferred interaction modes, with various levels of automation being examined. On all occasions, the synergy of humans and robots demonstrated the best results in terms of system performance, physical workload of workers, and time needed to execute the performed tasks. However, despite the associated progress, there is still a long way to go towards establishing viable, functional, and safe human–robot interactive systems.

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