Design and Implementation of an Intelligent ANFIS Controller on a Raspberry Pi Nano-Computer for Photovoltaic Pumping Intended for Drip Irrigation

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