Technological and Research Challenges in Data Engineering for Sustainable Agriculture-Reference-Cited by-同舟云学术

Technological and Research Challenges in Data Engineering for Sustainable Agriculture

Published:2024-06-09 Issue: Volume:20 Page:1-6
ISSN:
Container-title:International Workshop on Big Data in Emergent Distributed Environments
language:
Short-container-title:

Author:

Bimonte Sandro¹^ORCID,Bellocchi Gianni¹^ORCID,Pinet Francois¹^ORCID,Charrier Guillaume²^ORCID,Sacharidis Dimitris³^ORCID,Sakr Mahmoud³^ORCID,Tournier Ronan⁴^ORCID,Jakllari Gentian⁴^ORCID,Chalhoub Gerard²^ORCID,Kechadi Tahar⁵^ORCID,Benatallah Boualem⁶^ORCID,Marinello Francesco⁷^ORCID,Oberti Roberto⁸^ORCID,Bindelle Jerome⁹^ORCID,Majore Ginta¹⁰^ORCID,Skrzypczyński Piotr¹¹^ORCID

Affiliation:

1. French National Research Institute for Agriculture, Food and Environment, France

2. Université Clermont Auvergne, France

3. Université Libre de Bruxelles, Belgium

4. Université Toulouse Capitole, France

5. University College Dublin, Ireland

6. Dublin City University, Ireland

7. University of Padova, Italy

8. Università degli Studi di Milano, Italy

9. University of Liège, Belgium

10. Vidzeme University of Applied Sciences, Latvia

11. Poznan University of Technology, Poland

Funder

French National Research Agency

Publisher

ACM

Reference63 articles.

1. LambdAgrIoT: a new architecture for agricultural autonomous robots’ scheduling: from design to experiments

2. Florence Le Ber Aurélie Leborgne, Ezriel Steinberg and Stella Marc-Zwecker. 2024. Representation and Analysis of the Evolution of Agricultural Territories by a Spatio-temporal Graph. In Geographic Data Imperfection 2: Use Cases.Wiley.

3. Mohamed Bakli, Mahmoud Sakr, and Taysir Hassan A. Soliman. 2019. HadoopTrajectory: a Hadoop spatiotemporal data processing extension. Journal of Geographical Systems (2019), 1–25.

4. Distributed moving object data management in MobilityDB

5. Distributed Spatiotemporal Trajectory Query Processing in SQL