Towards Responsible Plant Data Linkage Data Challenges For Agricultural Research And Development
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Towards Responsible Plant Data Linkage: Data Challenges for Agricultural Research and Development
Author: Hugh F. Williamson
language: en
Publisher: Springer Nature
Release Date: 2022-10-26
This open access book provides the first systematic overview of existing challenges and opportunities for responsible data linkage, and a cutting-edge assessment of which steps need to be taken to ensure that plant data are ethically shared and used for the benefit of ensuring global food security – one of the UN’s Sustainable Development Goals. The volume focuses on the contemporary contours of such challenges through sustained engagement with current and historical initiatives and discussion of best practices and prospective future directions for ensuring responsible plant data linkage. The volume is divided into four sections that include case studies of plant data use and linkage in the context of particular research projects, breeding programs, and historical research. It address technical challenges of data linkage in developing key tools, standards and infrastructures, and examines governance challenges of data linkage in relation to socioeconomic and environmental research and data collection. Finally, the last section addresses issues raised by new data production and linkage methods for the inclusion of agriculture’s diverse stakeholders. This book brings together leading experts in data curation, data governance and data studies from a variety of fields, including data science, plant science, agricultural research, science policy, data ethics and the philosophy, history and social studies of plant science.
Linkages between EU Deforestation-Free Regulation and traceability tools: An exploration from the Honduran coffee sector
Author: Melo-Velasco, Jenny
language: en
Publisher: Intl Food Policy Res Inst
Release Date: 2025-03-26
Under the new EU deforestation regulation (EUDR), dated 31/05/2023, coffee producers and other producers of other significant commodities —cocoa, oil palm, rubber, soya, cattle, and wood— will have to comply with three aspects to export their products into the European Un ion. These aspects are i) Deforestation-free; 2) Production under the relevant legislation of the country of production; and 3) Due diligence statement. (Council of the European Union, 2022). These conditions are designed to minimize the European Union's impact on global deforestation and forest degradation, and to reduce its contribution to greenhouse gas emissions. Understanding this regulation, set to be enforced by December 30th, 2024, is crucial for coffee farmers who may face challenges due to the regulation's definition of deforestation, which includes forest-to-agroforestry conversion (Naranjo et al., 2023). For the Honduran coffee sector, where coffee is the primary agricultural export crop, with over 120,000 coffee farms making a significant contribution to a third of the agricultural GDP (IHCAFE, 2021), comprehending this regulation is essential. In examining the aspects of the EUDR, we encounter a complex interplay of definitions, ac tors, and processes that necessitate in-depth exploration to grasp their nuances and specific challenges. A transversal aspect involves how all the new information requested by this regulation is going to be collected, cleaned, integrated, stored, analyzed, reported, audited and updated. This paper aims to illuminate these processes by focusing on the existing and potential linkages among three traceability tools currently under development in the Honduran coffee sector.
Agriculture 4.0
With the convergence of the Internet of Things (IoT) and Artificial Intelligence (AI), the traditional methods of farming are undergoing transformation. By harnessing the power of data-driven insights and automation, farmers can now make informed decisions in real time, optimize resource utilization, and mitigate risks associated with crop management and livestock welfare. This book serves as a guide to the integration of IoT and AI in agriculture and discusses the methodologies, applications, and challenges in this rapidly evolving field. It details various aspects of smart farming—from crop monitoring and precision agriculture to livestock management and food supply chain transparency—and provides insight into the potential of IoT and AI to revolutionize agricultural practices and address the global challenges of food security, environmental sustainability, and economic development. Print edition not for sale in South Asia (India, Sri Lanka, Nepal, Bangladesh, Pakistan or Bhutan)