Etudiant : NFISSI SOUHAIL

Filière : Master Smart Industry (M2SI)

Encadrant : Pr. KABBAJ MOHAMMED NABIL

Annèe : 2025

Résumé : Irrigation planning in arid and semi-arid regions remains a critical challenge due to limited water availability and complex agronomic conditions. Tra- ditional tools, such as the Excel-based calculation sheets from the CECIIL methodology, are effective but limited in terms of flexibility and accessibility, especially for digital platforms and non-technical users. This project addresses this gap by designing and implementing a smart irri- gation support system that digitizes the core logic of the CECIIL method- ology. The objective is to translate scientifically validated formulas such as crop evapotranspiration (ETc), effective precipitation (Pe), net water re- quirement (NRn), and total water requirement (NRt) into a modern, scalable backend service, complemented by a user-friendly web interface. The backend was developed using FastAPI and structured around a RESTful architecture, with modular service files and real-time integration of climate data via the Open-Meteo API. A SQLite database stores persistent crop and soil data, while a React-based frontend was created using Tailwind CSS for responsive design and Lucide Icons for clean interface visuals. This web interface enables intuitive user interaction with the system and allows users to view irrigation recommendations dynamically. The resulting system successfully calculates irrigation needs based on user- selected inputs and external climate data, providing precise and reproducible recommendations. The web interface improves accessibility and facilitates visualization of results in real time. Overall, the project demonstrates the feasibility and impact of converting traditional agronomic tools into digital solutions tailored for smart agricul- ture, laying the groundwork for future development of mobile applications and more advanced agro-environmental integrations.