A Zone-based Data Lake Architecture for Smart Crop Farming in Vietnam: A Strategic Perspective
- DOI
- 10.2991/978-94-6463-583-6_4How to use a DOI?
- Keywords
- Big data; data lake; smart crop farming; zone
- Abstract
The rapid growth of smart crop farming technologies in Vietnam has resulted in an unforeseen surge in the volume, variety, and velocity of agricultural data. This paper suggests a zone-based data lake architecture to address the issues of managing, integrating, and analyzing the huge amount of heterogeneous data collected by several sources in smart crop farming. The proposed architecture utilizes big data technologies and its development follows a nine-step data lake architecture framework (DLAF). The paper covers the integration of batch and real-time processing technologies so as to develop predictive models, real-time monitoring, and data-driven decision support systems for smart crop farming. The paper illustrates the practical application of the proposed architecture in smart crop farming via many use cases, including crop yield estimation, disease detection, resource optimization, and climate risk assessment. It also covers the key aspects of metadata management, data security and data governance to meet the standards of data quality, lineage, and compliance.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Toan Pham Minh AU - Huy Ha Quang AU - Tuan Nguyen Manh PY - 2024 DA - 2024/11/26 TI - A Zone-based Data Lake Architecture for Smart Crop Farming in Vietnam: A Strategic Perspective BT - Proceedings of the 2nd International Conference - Resilience by Technology and Design (RTD 2024) PB - Atlantis Press SP - 29 EP - 44 SN - 1951-6851 UR - https://doi.org/10.2991/978-94-6463-583-6_4 DO - 10.2991/978-94-6463-583-6_4 ID - Minh2024 ER -