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All Journal IAES International Journal of Artificial Intelligence (IJ-AI)
Raoufi, Mustapha
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Computer Science & IT Engineering

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Driving agricultural evolution: implementing agriculture 4.0 with Raspberry Pi and internet of things in Morocco Mouachi, Raja; Youssef, Elbelghiti; El mrini, Sanaa; Ezzini, Mustapha; Raoufi, Mustapha
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 14, No 4: August 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v14.i4.pp3462-3473

Abstract

The purpose of this project was to investigate the use of embedded system and smartphone technologies in conjunction with Raspberry Pi and NodeMCU to create an intelligent system for smart farming (SF). By means of experiments and comparative analysis carried out in several agricultural contexts, the research evaluated the efficacy of the intelligent system. Results showed that the system was able to handle pertinent agricultural activities and effectively monitor important environmental factors including temperature, humidity, soil moisture, and climatic quality. The system's remote accessibility helped farmers by allowing them to effectively oversee agricultural operations at any time and from any location. As a consequence, SF techniques produced more production, lower costs, and maintained assets.
Co-Authors El mrini, Sanaa Ezzini, Mustapha Mouachi, Raja Youssef, Elbelghiti