From Industry 5.0 to Forestry 5.0: Bridging the gap with Human-Centered Artificial Intelligence

IF 9 1区 农林科学 Q1 FORESTRY
Andreas Holzinger, Janine Schweier, Christoph Gollob, Arne Nothdurft, Hubert Hasenauer, Thomas Kirisits, Carola Häggström, Rien Visser, Raffaele Cavalli, Raffaele Spinelli, Karl Stampfer
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Abstract

Purpose of the Review

Recent technological innovations in Artificial Intelligence (AI) have successfully revolutionized many industrial processes, enhancing productivity and sustainability, under the paradigm of Industry 5.0. It offers opportunities for the forestry sector such as predictive analytics, automation, and precision management, which could transform traditional forest operations into smart, effective, and sustainable practices. The paper sets forth to outline the evolution from Industry 5.0 and its promising transition into Forestry 5.0. The purpose is to elucidate the status of these developments, identify enabling technologies, particularly AI, and uncover the challenges hindering the efficient adoption of these techniques in forestry by presenting a framework.

Recent Findings

However, the gap between potential and practical implementation is primarily due to logistical, infrastructural, and environmental challenges unique to the forestry sector. The solution lies in Human-Centered AI, which, unlike the Industry 4.0 paradigm, aims to integrate humans into the loop rather than replace them, thereby fostering safe, secure, and trustworthy Human-AI interactions.

Summary

The paper concludes by highlighting the need for Human-Centered AI development for the successful transition to Forestry 5.0 – where the goal is to support the human workers rather than substituting them. A multidisciplinary approach involving technologists, ecologists, policymakers, and forestry practitioners is essential to navigate these challenges, leading to a sustainable and technologically advanced future for the forestry sector. In this transformation, our focus remains on ensuring a balance between increased productivity, nature conservation and social licence, worker safety and satisfaction.

Abstract Image

从工业 5.0 到林业 5.0:利用以人为本的人工智能缩小差距
审查目的最近的人工智能(AI)技术创新成功地革新了许多工业流程,在工业 5.0 的范式下提高了生产率和可持续性。它为林业部门提供了机遇,如预测分析、自动化和精确管理,可将传统的林业运营转变为智能、有效和可持续的实践。本文概述了从工业 5.0 到林业 5.0 的演变过程及其充满希望的过渡。本文的目的是阐明这些发展的现状,确定使能技术,特别是人工智能,并通过提出一个框架来揭示阻碍在林业中有效采用这些技术的挑战。然而,潜力与实际实施之间的差距主要是由于林业部门特有的后勤、基础设施和环境挑战造成的。解决方案在于以人为本的人工智能,它与工业 4.0 范式不同,旨在将人类融入环路中,而不是取代人类,从而促进安全、可靠和可信的人与人工智能互动。摘要本文最后强调,要成功过渡到林业 5.0,就必须开发以人为本的人工智能,其目标是支持人类工作者,而不是取代他们。技术专家、生态学家、政策制定者和林业从业人员共同参与的多学科方法对于应对这些挑战至关重要,它将为林业部门带来一个可持续发展、技术先进的未来。在这一转变过程中,我们的重点仍然是确保提高生产力、自然保护和社会许可、工人安全和满意度之间的平衡。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Current Forestry Reports
Current Forestry Reports Agricultural and Biological Sciences-Ecology, Evolution, Behavior and Systematics
CiteScore
15.90
自引率
2.10%
发文量
22
期刊介绍: Current Forestry Reports features in-depth review articles written by global experts on significant advancements in forestry. Its goal is to provide clear, insightful, and balanced contributions that highlight and summarize important topics for forestry researchers and managers. To achieve this, the journal appoints international authorities as Section Editors in various key subject areas like physiological processes, tree genetics, forest management, remote sensing, and wood structure and function. These Section Editors select topics for which leading experts contribute comprehensive review articles that focus on new developments and recently published papers of great importance. Moreover, an international Editorial Board evaluates the yearly table of contents, suggests articles of special interest to their specific country or region, and ensures that the topics are up-to-date and include emerging research.
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