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Design of an Intelligent Irrigation System Based on Fuzzy Logic

Abstract:

The present study contributes to the improvement of the processes of conventional agriculture that are still being carried out independently of the Information and Communication Technologies, which show shortcomings in the forms of irrigation carried out suffering an impact on the use of the water supply. From this point, precision agriculture becomes indispensable to improve the processes of agricultural production processes, allowing adequate management of agricultural plots supported by the use of technology to estimate, evaluate and understand the variations of the variables involved and offer quantities of water necessary for cultivation. This analysis covers the design and construction of an intelligent irrigation system based on fuzzy logic applied in vegetable crops. The fundamental mechanism of this system is to realize the control of irrigation through a scheme consisting of two modules, the data acquisition module, and the decision-making module. Considering that the section with the highest degree of responsibility is the integration of fuzzy logic as a control mechanism and that is part of the decision-making module. To achieve this, meteorological variables such as precipitation, temperature, the humidity of the environment and soil moisture are evaluated, which are considered as input variables for the diffuse system. The operation of the prototype is crystallized in a functional graphical interface and tested in two scenarios, where its efficiency in the proper use of the water supply is demonstrated.