For several decades, many countries have favored irrigation as a means of regulating, diversifying, and increasing agricultural production to meet the growing domestic demand for food, and even to generate exportable surpluses. As with most Mediterranean countries, Tunisia has inherited a long tradition in irrigation; thus, the management of the scarcity of water resources poses a very important challenge that is gradually increasing due to the effects of climate change undergone by the region and confronting the agricultural sector. Aiming at a new model of sustainable development, ensuring the optimization of water resources management, as well as the protection of natural resources and the environment, this work proposed the modern design of a photovoltaic pumping chain dedicated for drip irrigation, which is controlled using an intelligent neuron-fuzzy controller with an ANFIS architecture and implemented on a Raspberry Pi platform. Thanks to this design, the efficiency of the pumping chain increased exponentially to a value of approximately 95%, achieving water pumping optimization while exploiting renewable energy resources, thus guaranteeing the longevity of water resources, as well as the continuity of diversified agricultural production.

Considering the ultimate importance of physical processes supervision in order to strengthen their security, a comparative study is carried out aiming to underline the significant influence of the adopted model in favor of the supervision results precision. Thanks to the intern supervision methodology based on Bond Graph tool, detectable and isolable components number has increased while an exploded Bond Graph model is used, thus, Bond Graph models have a crucial impact on parametric monitoring accuracy not only for fluidic processes, but also for multidisciplinary systems.

Like most multidisciplinary automatic systems, pumping process need controllers to boost their performances. The main problem confronting specialists is which controller is most suitable for the application in question. For this purpose a comparative study is presented in this work showing the importance of combining scalar and ANFIS respectively archaic and new intelligent technologies in favor of the designed architecture development.