Utilizing an Internet of Things (IoT) Device, Intelligent Control Design, and Simulation for an Agricultural System

Abstract

In an agricultural system, finding suitable watering, pesticides, and soil content to provide the right nutrients for the right plant remains challenging. Plants cannot speak and cannot ask for the food they require. These problems can be addressed by applying intelligent (fuzzy logic) controllers to IoT devices in order to enhance communication between crops, ground mobile robots, aerial robots, and the entire farm system. The application of fuzzy logic in agriculture is a promising technology that can be used to optimize crop yields and reduce water usage. It was developed based on language and the air properties in agricultural fields. The entire system was simulated in the MATLAB/SIMULINK environment with Cisco Packet Tracer integration. The inputs for the system were soil moisture sensors, temperature sensors, and humidity sensors, and the outputs were pump flow, valve opening, water level, and moisture in the sounding. The obtained results were the output of the valve opening, moisture in the sounding, pump flow rate, outflow, water level, and ADH values, which are 10.00000013 rad/s, 34.72%, 4.494%, 0.025 m3/s, 73.31 cm3, and 750 values, respectively. The outflow rate increase indicates that water is being released from the tanks, and the control signal fluctuates, indicating that the valve is opening.

Keywords

multi robot system; IOT device; smart agriculture system; intelligent controller

Published in

IoT
2024, volume: 5, number: 1, pages: 58-78
Publisher: MDPI

SLU Authors

• Gebresenbet, Girma

  • Department of Energy and Technology, Swedish University of Agricultural Sciences
    

UKÄ Subject classification

Agricultural Science
Computer Vision and Robotics (Autonomous Systems)

Publication identifier

• DOI: https://doi.org/10.3390/iot5010004

Permanent link to this page (URI)

https://res.slu.se/id/publ/130844