Digital Transformation of Agriculture through the Use of an Interoperable Platform

Clicks: 250
ID: 261121
2020
Free PDF
Article Quality & Performance Metrics
Overall Quality Improving Quality
0.0 /100
Combines engagement data with AI-assessed academic quality
AI Quality Assessment
Not analyzed
Abstract
The continuous evolution of the agricultural sector justifies the incorporation and adaptation of the latest technologies. Nowadays, managing crops is possible through Internet-based technologies. Their application allows for the exploitation of information and the development of isolated applications, which, although powerful, create challenges for obtaining scalable predictions throughout the useful life of farms. To address this problem, a data model was defined to improve the management of crop plots in irrigation communities and simultaneously monitor crop needs. Consequently, the objective of this study was to create an open and interoperable platform based on standard interfaces and protocols to enable the integration of heterogeneous sources of information, while ensuring interoperability with other third-party solutions for exchanging and exploiting such information. Standard and open interfaces and protocols form the basis of the platform, thereby unifying all information in a single data model, which facilitates the better use and dissemination of information. The system was fully instantiated in a real prototype in an irrigation community; the software improved water irrigation management for the farmers connected to the platform.
Reference Key
skarmeta2020sensorsdigital Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Juan Antonio López-Morales,Juan Antonio Martínez,Antonio F. Skarmeta;Juan Antonio López-Morales;Juan Antonio Martínez;Antonio F. Skarmeta;
Journal sensors
Year 2020
DOI
10.3390/s20041153
URL
https://sciprofiles.com/publication/view/5158cec8c0f9d2788635bd52d4d4cec6
Keywords
interoperability smart agriculture irrigation water fiware iot platform precision irrigation data model ngsi-ld

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.