Title
Technological and Research Challenges in Data Engineering for Sustainable Agriculture
Authors
[ 1 ] Instytut Robotyki i Inteligencji Maszynowej, Wydział Automatyki, Robotyki i Elektrotechniki, Politechnika Poznańska | [ P ] employee
Scientific discipline (Law 2.0)
Year of publication
2024
Chapter type
chapter in monograph / paper
Publication language
english
Keywords
EN
- Information systems
- Data management systems
- Information integration
- Mediators and data integrati
Abstract
EN This paper presents a concise exploration of the evolving landscape of sustainable agriculture through the lens of data engineering. The aim is to highlight the most important challenges in the field and sketch ideas for how to address them. This position paper delves into key research challenges such as multi-modal data integration, data quality assurance, network optimisation and edge versus fog data processing strategies. Additionally, it emphasises the significance of performance enhancement in driving innovation within sustainable agriculture. By addressing these challenges and following the proposed visionary approaches for future research endeavours, we claim that data engineering will serve as a catalyst for advancing sustainable agriculture practices.
Pages (from - to)
1 - 6
License type
other
Open Access Mode
publisher's website
Open Access Text Version
final published version
Date of Open Access to the publication
at the time of publication
Full text of chapter
Access level to full text
public
Ministry points / chapter
20
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