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
Filters
Institutions
- HASSAN USMAN KATSINA POLYTECHNIC (NCE), KATSINA, KATSINA STATE 4
- Hassan Usman Katsina Polytechnic, Katsina, Katsina State 5
- Heritage Polytechnic, Ikot Udota, Akwa Ibom State 46
- Hussaini Adamu Federal Polytechnic, Kazaure, Jigawa State 8
- Ibrahim Badamasi Babangida University, Lapai, Niger State 24
- Igbinedion University, Okada, Benin City, Edo State 2
- Ignatius Ajuru University of Education, Port Harcourt, Rivers State 8
- Imo State Polytechnic, Umuagwo, Owerri, Imo State 2
- Imo State University, Owerri, Imo State 45
- Institute of Management and Technology, Enugu, Enugu State 11