Application of fuzzy logic to develop Internet of Things control system for durian planting

Abstract

The concept of "Smart Farming" integrates fuzzy logic, a form of artificial intelligence, to manage control systems in an adaptive manner, similar to human decision-making under uncertain conditions. The cooperative operation of sensors measuring humidity, temperature, and irrigation systems ensures the most favorable conditions for plant growth.
            The researchers designed the experiment as follows: Group A: Newly planted durian trees grown using IoT technology inside a greenhouse. They are irrigated using Fuzzy Logic-controlled sprinklers, and the temperature is regulated through mist spray. Group B: Newly planted durian trees grown using IoT technology outside a greenhouse. They are irrigated using Fuzzy Logic-controlled sprinklers, but temperature control is not implemented. Group C: Newly planted durian trees with automatic irrigation.

The statistics used in this study for evaluating growth efficiency include one-way ANOVA that reveals significant differences in tree height, branch count, and leaf count among the three groups. Group A demonstrated the highest values, followed by Group B and Group C, with statistical significance.

DC power consumption efficiency was also recorded and calculated and showed that group A consumed significantly more power than Groups B and C. Groups B and C, however, did not significantly differ in power consumption. Despite higher power consumption, Group A benefited from reduced water usage due to the precision offered by the IoT technology. Group B, utilizing IoT technology in an open-field setting, consumed less power and conserved more water than conventional cultivation. Group C.