Proceedings of the First International Conference on Artificial Intelligence, Smart Technologies and Communications (AISTC 2025)

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Low Cost Smart Soil Property Analysis using IOT

Authors
Nassima Bousahba1, 2, *, Mahamed Abdelmadjid Allali3, 4, Said Bouziani1, Akram Bouziane Errahmani1, Rachid Bechar1, Mounir Tahar Abbes1
1Computer Science Department, Hassiba Benbouali University of Chlef, Chlef, Algeria
2EEDIS Laboratory, Djillali Liabes University, Sidi Bel Abbes, Algeria
3LIA Laboratory, Hassiba Benbouali University of Chlef, Chlef, Algeria
4SIMPA Laboratory, Mohamed Boudiaf University, Usto, Oran, Algeria
*Corresponding author. Email: n.bousahba@univ-chlef.dz
Corresponding Author
Nassima Bousahba
Available Online 5 August 2025.
DOI
10.2991/978-94-6463-805-9_26How to use a DOI?
Keywords
Smart Soil Analysis; IoT Technologies; Real-Time Monitoring; Soil Parameters; Precision Agriculture
Abstract

This study examines an IoT-based smart soil fertility prediction system for Algerian agriculture. With many farmers applying fertilizers without prior soil nutrient assessment and limited access to laboratory analysis, we developed and tested a prototype IoT soil monitoring system at Si Yahi pilot farm in Chlef, northwestern Algeria, across sandy, loamy, and clay soils. Comparing sensor measurements with laboratory results revealed minor variations: pH sensor readings (7.1, 7.0, 7.5) slightly exceeded laboratory values (6.7, 6.6, 7.1), while humidity sensor readings (57%, 62%, 65%) were marginally higher than laboratory measurements (54%, 59%, 61%). The prototype shows promise for onsite agricultural monitoring, with data stored on a cloud MQTT server facilitating agricultural decision-making applications. This cost-effective system for direct field measurements could transform Algerian soil management practices, though further research is needed to improve sensor accuracy and assess long-term impacts on agricultural productivity and sustainability.

Copyright
© 2025 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.

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Volume Title
Proceedings of the First International Conference on Artificial Intelligence, Smart Technologies and Communications (AISTC 2025)
Series
Advances in Intelligent Systems Research
Publication Date
5 August 2025
ISBN
978-94-6463-805-9
ISSN
1951-6851
DOI
10.2991/978-94-6463-805-9_26How to use a DOI?
Copyright
© 2025 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

risenwbib
TY  - CONF
AU  - Nassima Bousahba
AU  - Mahamed Abdelmadjid Allali
AU  - Said Bouziani
AU  - Akram Bouziane Errahmani
AU  - Rachid Bechar
AU  - Mounir Tahar Abbes
PY  - 2025
DA  - 2025/08/05
TI  - Low Cost Smart Soil Property Analysis using IOT
BT  - Proceedings of the First International Conference on Artificial Intelligence, Smart Technologies and Communications (AISTC 2025)
PB  - Atlantis Press
SP  - 228
EP  - 239
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-805-9_26
DO  - 10.2991/978-94-6463-805-9_26
ID  - Bousahba2025
ER  -