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
- Kebbi State University of Science and Technology, Aliero, Kebbi State 6
- Kenule Benson Saro-Wiwa Polytechnic, Bori, Rivers State 18
- Kogi State Polytechnic, Lokoja, Kogi State 4
- Kogi State University, Anyigba 2
- Kwara State College of Health Technology, offa, Kwara State 9
- Kwara State Polytechnic, Ilorin, Kwara State 20
- Kwara State University, Malete, Ilorin, Kwara State 13
- Ladoke Akintola University of Technology, Ogbomoso, Oyo State 39
- Lagos State Poly, Ikorodu, Lagos State 2
- Lagos State University, Ojo, Lagos State 7