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

Siwar Bellahirich, Dhafer Mezghani and Abdelkader Mami
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Siwar Bellahirich: UR-LAPER, UR17ES11, Faculty of Sciences of Tunis, University of Tunis El Manar, Tunis 1068, Tunisia
Dhafer Mezghani: UR-LAPER, UR17ES11, Faculty of Sciences of Tunis, University of Tunis El Manar, Tunis 1068, Tunisia
Abdelkader Mami: UR-LAPER, UR17ES11, Faculty of Sciences of Tunis, University of Tunis El Manar, Tunis 1068, Tunisia

Energies, 2021, vol. 14, issue 17, 1-19

Abstract: 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.

Keywords: photovoltaic pumping; drip irrigation; neuron-fuzzy controller; ANFIS; Raspberry Pi (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
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