Optimization of the Irrigation Systems to Improve Crop Production in Sahelian Zones Using Microcontroller Systems
This paper is based on the use of microcontroller systems to help optimize irrigation systems in order to improve crop production in Sahelian zones. In this paper, we implement an automatic device using sensors to monitor environmental data such as soil and air conditions in real time, microcontrollers to make irrigation decisions based on these data, and modules to store data from the sensors. Analysis of this data enables informed irrigation and crop management decisions to be made. This approach enables efficient irrigation management by precisely adjusting the amount of water supplied to crops, minimizing human intervention and thus reducing costs and environmental impacts while maximizing crop yields. The results obtained in this study show that the system works well, and justify the possibility of adjusting system parameters according to crop type.
Authors
- Jacob Mbarndouka Taamté (ORCID: https://orcid.org/0000-0003-3534-9221)
- Patrick Dany Bavoua Kenfack (ORCID: https://orcid.org/0000-0002-7071-0249)
- Albert Vandai Stanga
Institutions
- Université de Yaoundé I (CM)
- Institut de Recherches Géologiques et Minières (CM)
Publication Details
- Journal
- Analecta Technica Szegedinensia
- Published
- 2025-10-28
- DOI
- https://doi.org/10.14232/analecta.2025.2.34-45
- Primary Topic
- Smart Agriculture and AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00