The Digital Agricultural Knowledge and Information System (DAKIS): Employing digitalisation to encourage diversified and multifunctional agricultural systems

IF 14 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Environmental Science and Ecotechnology Pub Date : 2023-10-01 DOI:10.1016/j.ese.2023.100274
Ioanna Mouratiadou , Nahleen Lemke , Cheng Chen , Ariani Wartenberg , Ralf Bloch , Marco Donat , Thomas Gaiser , Deepak Hanike Basavegowda , Katharina Helming , Seyed Ali Hosseini Yekani , Marcos Krull , Kai Lingemann , Joseph Macpherson , Marvin Melzer , Claas Nendel , Annette Piorr , Mostafa Shaaban , Peter Zander , Cornelia Weltzien , Sonoko Dorothea Bellingrath-Kimura
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引用次数: 3

Abstract

Multifunctional and diversified agriculture can address diverging pressures and demands by simultaneously enhancing productivity, biodiversity, and the provision of ecosystem services. The use of digital technologies can support this by designing and managing resource-efficient and context-specific agricultural systems. We present the Digital Agricultural Knowledge and Information System (DAKIS) to demonstrate an approach that employs digital technologies to enable decision-making towards diversified and sustainable agriculture. To develop the DAKIS, we specified, together with stakeholders, requirements for a knowledge-based decision-support tool and reviewed the literature to identify limitations in the current generation of tools. The results of the review point towards recurring challenges regarding the consideration of ecosystem services and biodiversity, the capacity to foster communication and cooperation between farmers and other actors, and the ability to link multiple spatiotemporal scales and sustainability levels. To overcome these challenges, the DAKIS provides a digital platform to support farmers' decision-making on land use and management via an integrative spatiotemporally explicit approach that analyses a wide range of data from various sources. The approach integrates remote and in situ sensors, artificial intelligence, modelling, stakeholder-stated demand for biodiversity and ecosystem services, and participatory sustainability impact assessment to address the diverse drivers affecting agricultural land use and management design, including natural and agronomic factors, economic and policy considerations, and socio-cultural preferences and settings. Ultimately, the DAKIS embeds the consideration of ecosystem services, biodiversity, and sustainability into farmers' decision-making and enables learning and progress towards site-adapted small-scale multifunctional and diversified agriculture while simultaneously supporting farmers' objectives and societal demands.

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数字农业知识和信息系统(DAKIS):利用数字化鼓励多样化和多功能农业系统
多功能和多样化的农业可以通过同时提高生产力、生物多样性和提供生态系统服务来应对不同的压力和需求。数字技术的使用可以通过设计和管理资源节约型和因地制宜的农业系统来支持这一点。我们提出了数字农业知识和信息系统(DAKIS),以展示一种利用数字技术实现多元化和可持续农业决策的方法。为了开发DAKIS,我们与利益相关者一起指定了基于知识的决策支持工具的需求,并回顾了文献以确定当前一代工具的局限性。审查的结果指出了在考虑生态系统服务和生物多样性、促进农民和其他行动者之间沟通与合作的能力、以及将多个时空尺度和可持续性水平联系起来的能力等方面反复出现的挑战。为了克服这些挑战,DAKIS提供了一个数字平台,通过分析来自各种来源的广泛数据的综合时空明确方法,支持农民在土地利用和管理方面的决策。该方法整合了远程和原位传感器、人工智能、建模、利益相关者对生物多样性和生态系统服务的需求,以及参与式可持续性影响评估,以解决影响农业土地利用和管理设计的各种驱动因素,包括自然和农艺因素、经济和政策考虑,以及社会文化偏好和环境。最终,DAKIS将生态系统服务、生物多样性和可持续性纳入农民的决策中,使他们能够学习和发展适应现场的小规模多功能和多样化农业,同时支持农民的目标和社会需求。
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来源期刊
CiteScore
20.40
自引率
6.30%
发文量
11
审稿时长
18 days
期刊介绍: Environmental Science & Ecotechnology (ESE) is an international, open-access journal publishing original research in environmental science, engineering, ecotechnology, and related fields. Authors publishing in ESE can immediately, permanently, and freely share their work. They have license options and retain copyright. Published by Elsevier, ESE is co-organized by the Chinese Society for Environmental Sciences, Harbin Institute of Technology, and the Chinese Research Academy of Environmental Sciences, under the supervision of the China Association for Science and Technology.
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