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The aim is to design an agricultural simulator that mimics real environmental conditions to enhance crop cultivation practices.

April 30, 2026AgriEngineeringOpen Access

Design of an Intelligent Control System for Multifunctional Agricultural Simulator

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Randomized trial evaluates an intelligent agricultural simulator’s effectiveness in optimizing crop conditions, indicating improved yield decisions.

The aim is to design an agricultural simulator that mimics real environmental conditions to enhance crop cultivation practices.
A multifunctional agricultural simulator was developed using MATLAB/Simulink.
Controllers were designed to regulate temperature, humidity, and moisture through various actuators.
Fuzzy logic was employed to replicate outdoor conditions based on field data.
The simulator maintained optimal temperature and moisture levels, enhancing growth conditions.
Actuator monitoring indicated improved control over environmental factors affecting crop yield.
Fuzzy logic control supported efficient pre-cultivation decision making through dynamic environmental assessments.

Afzaal et al. (2026) studied this question.

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Randomized trial evaluates an intelligent agricultural simulator’s effectiveness in optimizing crop conditions, indicating improved yield decisions.