E3S Web Conf.
Volume 297, 2021The 4th International Conference of Computer Science and Renewable Energies (ICCSRE'2021)
|Number of page(s)||8|
|Published online||22 September 2021|
VSSAgri: A Vegetation Surveillance System for precision Agriculture application
1 Laboratory of Systems Engineering and Information Technology LISTI, National School of Applied Sciences, Ibn Zohr University Agadir, Morocco
2 SATIE, ENS, Paris Saclay University, Orsay, France
3 Department of Computer Science, American University in the Emirates, Dubai, UAE
* Corresponding email: Amine.email@example.com
The integration of low-cost systems in precision agriculture applications has shown great benefits, both in terms of the variety of applications and the tools used. In this paper, we present a monitoring platform for agricultural applications based on low-cost systems—also, a review on the different applications of precision agriculture. The proposed platform contains a guidance system based on stepper motors, as well as an embedded architecture for processing the various applications. The guidance system helps to drive the system in the vertical axis for multispectral camera processing. The guidance system helps to move the system in the vertical axis for processing multispectral cameras and in the horizontal axis for the movement of the two bars that will support the system. This platform was inspired by the principle of the scanner, which aims to extract all the information by sliding the scan tool. In the same way, in our case, the sliding will allow us to process the whole agricultural field. The platform proposed in this work has shown that it can be used in different types of the greenhouse, as well as for all types of applications.
Key words: Low-Cost systems / Precision agriculture / VSSAgri plateform / embedded architecture
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.