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.
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For the full publication, please contact the author directly at: akinjisolamicheal11@gmail.com
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Institutions
- Ekiti State University 58
- Ekiti State University, Ado-Ekiti, Ekiti State 881
- Elizade University, Ilara-Mokin, Ondo State 100
- Emmanuel Alayande College of Education, Oyo. (affl To Ekiti State Univ) 2
- Enugu State Polytechnic, Iwollo, Enugu State 4
- Enugu State University of Science and Technology, Enugu, Enugu State 29
- Evangel University, Akaeze, Ebonyi State 2
- FCT COLLEGE OF EDUCATION, ZUBA ,( AFFILIATED TO ABU, ZARIA), FCT-ABUJA 5
- Federal College of Agricultural Produce Tech, Hotoro Gra Ext, Kano, Kano State 2
- Federal College of Educ. (Special), Oyo, Oyo State (Aff To Uni. Ibadan) 10