Development of an Iot-Based Sensor for Real-Time Analysis and Nutrient Management in Maize (zea Mays) Cultivation
Student: Micheal Ayomide Akinjisola (Project, 2025)
Department of Computer Engineering
Federal Polytechnic, Ile-Oluji, Ondo State
Abstract
The development of a smart farm management system enhances productivity and sustainability in maize cultivation. The system integrates an ESP32 microcontroller with an NPK sensor to collect soil nutrient data, which is analyzed using machine learning algorithms for predictive fertilizer recommendations. Data transmission is achieved via the IoT framework to a cloud server, enabling real-time monitoring and decision-making. The primary goal is to optimize fertilizer usage, maximize crop yield, and support sustainable agricultural practices. The IoT-based system provides precise and data-driven insights that improve maize productivity while promoting efficient nutrient management for farmers.
Keywords
For the full publication, please contact the author directly at: akinjisolamicheal11@gmail.com
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Institutions
- Federal College of Education (Tech), Gusau, (Affl To Abu Zaria), Zamfara State 1
- Federal College of Education, Abeokuta (Aff To University of Ibadan), Ogun State 2
- Federal College of Education, Eha-Amufu, Enugu State 1
- Federal College of Education, Kano (Affl To Ahmadu Bello University, Zaria) 1
- Federal College of Education, Kontagora, (Affl To Abu, Zaria), Niger State 2
- Federal College of Education, Okene, (Affl. To University of Ibadan), Kogi State 3
- Federal College of Education, Pankshin, (Affl To Uni of Jos), Plateau State 2
- Federal College of Education, Zaria, Kaduna State (affl To Abu, Zaria) 1
- Federal College of Wildlife Management, New Bussa, Niger State 1
- Federal Cooperative College, Ibadan P.m.b. 5033, Eleyele, Ibadan, Oyo State 3