The variables are fuzzified using trapezoidal and triangular membership functions. The acquisition of these data is made by analog and digital sensors. Weather conditions (air temperature and solar radiation) and soil moisture (water content) are the inputs to the fuzzy system. The system uses fuzzy logic to decide the duration of watering in an adaptive and precise way. This paper proposes an irrigation system based on an intelligent and efficient strategy for the automatic watering of agricultural areas and more adapted to the climatic conditions of Oriental Morocco. Designing an irrigation system that reduces water losses and evapotranspiration losses is the key to sustainable precision irrigation. In Morocco, agriculture consumes about 88% of water resources, and the management of these resources is a significant issue, especially after the decline in rainfall rates in recent years. This fact leads to a degradation of water levels in several aquifers, as well as water quality.
Abstract : Existing traditional agricultural systems consume an enormous amount of water and energy, with more than 69% of the world's freshwater volume attributed to agriculture.
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