LAPSE:2023.19645
Published Article

LAPSE:2023.19645
Design and Implementation of an Intelligent ANFIS Controller on a Raspberry Pi Nano-Computer for Photovoltaic Pumping Intended for Drip Irrigation
March 9, 2023
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.
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.
Record ID
Keywords
ANFIS, drip irrigation, neuron-fuzzy controller, photovoltaic pumping, Raspberry Pi
Subject
Suggested Citation
Bellahirich S, Mezghani D, Mami A. Design and Implementation of an Intelligent ANFIS Controller on a Raspberry Pi Nano-Computer for Photovoltaic Pumping Intended for Drip Irrigation. (2023). LAPSE:2023.19645
Author Affiliations
Bellahirich S: UR-LAPER, UR17ES11, Faculty of Sciences of Tunis, University of Tunis El Manar, Tunis 1068, Tunisia [ORCID]
Mezghani D: UR-LAPER, UR17ES11, Faculty of Sciences of Tunis, University of Tunis El Manar, Tunis 1068, Tunisia
Mami A: UR-LAPER, UR17ES11, Faculty of Sciences of Tunis, University of Tunis El Manar, Tunis 1068, Tunisia
Mezghani D: UR-LAPER, UR17ES11, Faculty of Sciences of Tunis, University of Tunis El Manar, Tunis 1068, Tunisia
Mami A: UR-LAPER, UR17ES11, Faculty of Sciences of Tunis, University of Tunis El Manar, Tunis 1068, Tunisia
Journal Name
Energies
Volume
14
Issue
17
First Page
5217
Year
2021
Publication Date
2021-08-24
ISSN
1996-1073
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Original Submission
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PII: en14175217, Publication Type: Journal Article
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LAPSE:2023.19645
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https://doi.org/10.3390/en14175217
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Mar 9, 2023
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