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The popularization of the Internet of Things allowed the emergence of different monitoring and control solutions in different economic sectors. For example, in agriculture, this type of technology has supported the monitoring of environmental variables essential in decision-making, defining when and how much water to use in a given crop. Besides, it made it possible to control various devices to meet each crop type's environmental requirements, increasing productivity. In this sense, there is a need for increasingly improved control strategies to meet crop requirements in real-time, ensuring sustainable production and reliable quality. This work presents Discrete Event System techniques to develop an agricultural greenhouse controller considering self-configuring mechanisms for adapting to dynamic environments and preventing conflicting rules from violating control objectives. The controller was validated through a …