Development of a fuzzy logic-based greenhouse system for optimizing bio-fertigation.
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| Title: | Development of a fuzzy logic-based greenhouse system for optimizing bio-fertigation. |
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| Authors: | Touhami, Achouak1,2,3 achouak.touhami@cuniv-tindouf.dz, Bourouis, Amina3,4 bourouis@univ-bechar.dz, Mahammedi, Amel4 mehammdiamel@gmail.com, Mechraoui, Sana4 sanamechraoui49@gmail.com, Touhami, Sana3,4 touhami.sana@univbechar.dz |
| Source: | International Journal of Electrical & Computer Engineering (2088-8708). Oct2025, Vol. 15 Issue 5, p4555-4568. 14p. |
| Subjects: | Fuzzy logic, Fertigation, Environmental databases, Agriculture, Water conservation, Greenhouses, Sustainability, Fertilizers |
| Abstract: | Modern agriculture faces growing challenges in meeting food and resource demands, particularly with increasing pressure on water and fertilizer usage. This study proposes a fuzzy logic-based algorithm to optimize bio-fertigation by managing key greenhouse parameters: temperature, humidity, soil pH, and soil moisture. Implemented in MATLAB, the system automates the control of actuators (fan, heater, irrigation, fertilization and fertigation pumps) based on sensor data and fuzzy rules. Results show a 27.58% reduction in water use, 58.82% decrease in fertilizer consumption, and a 47.5% increase in tomato yield. Additionally, statistical error metrics mean absolute error (MAE), mean squared error (MSE), root mean squared error (RMSE), and mean absolute percentage error (MAPE) were reduced to zero, confirming the system's high precision and effectiveness in promoting sustainable agricultural practices. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Electrical & Computer Engineering (2088-8708) is the property of Institute of Advanced Engineering & Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Items | – Name: Title Label: Title Group: Ti Data: Development of a fuzzy logic-based greenhouse system for optimizing bio-fertigation. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Touhami%2C+Achouak%22">Touhami, Achouak</searchLink><relatesTo>1,2,3</relatesTo><i> achouak.touhami@cuniv-tindouf.dz</i><br /><searchLink fieldCode="AR" term="%22Bourouis%2C+Amina%22">Bourouis, Amina</searchLink><relatesTo>3,4</relatesTo><i> bourouis@univ-bechar.dz</i><br /><searchLink fieldCode="AR" term="%22Mahammedi%2C+Amel%22">Mahammedi, Amel</searchLink><relatesTo>4</relatesTo><i> mehammdiamel@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Mechraoui%2C+Sana%22">Mechraoui, Sana</searchLink><relatesTo>4</relatesTo><i> sanamechraoui49@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Touhami%2C+Sana%22">Touhami, Sana</searchLink><relatesTo>3,4</relatesTo><i> touhami.sana@univbechar.dz</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Electrical+%26+Computer+Engineering+%282088-8708%29%22">International Journal of Electrical & Computer Engineering (2088-8708)</searchLink>. Oct2025, Vol. 15 Issue 5, p4555-4568. 14p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Fuzzy+logic%22">Fuzzy logic</searchLink><br /><searchLink fieldCode="DE" term="%22Fertigation%22">Fertigation</searchLink><br /><searchLink fieldCode="DE" term="%22Environmental+databases%22">Environmental databases</searchLink><br /><searchLink fieldCode="DE" term="%22Agriculture%22">Agriculture</searchLink><br /><searchLink fieldCode="DE" term="%22Water+conservation%22">Water conservation</searchLink><br /><searchLink fieldCode="DE" term="%22Greenhouses%22">Greenhouses</searchLink><br /><searchLink fieldCode="DE" term="%22Sustainability%22">Sustainability</searchLink><br /><searchLink fieldCode="DE" term="%22Fertilizers%22">Fertilizers</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Modern agriculture faces growing challenges in meeting food and resource demands, particularly with increasing pressure on water and fertilizer usage. This study proposes a fuzzy logic-based algorithm to optimize bio-fertigation by managing key greenhouse parameters: temperature, humidity, soil pH, and soil moisture. Implemented in MATLAB, the system automates the control of actuators (fan, heater, irrigation, fertilization and fertigation pumps) based on sensor data and fuzzy rules. Results show a 27.58% reduction in water use, 58.82% decrease in fertilizer consumption, and a 47.5% increase in tomato yield. Additionally, statistical error metrics mean absolute error (MAE), mean squared error (MSE), root mean squared error (RMSE), and mean absolute percentage error (MAPE) were reduced to zero, confirming the system's high precision and effectiveness in promoting sustainable agricultural practices. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Electrical & Computer Engineering (2088-8708) is the property of Institute of Advanced Engineering & Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.11591/ijece.v15i5.pp4555-4568 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 14 StartPage: 4555 Subjects: – SubjectFull: Fuzzy logic Type: general – SubjectFull: Fertigation Type: general – SubjectFull: Environmental databases Type: general – SubjectFull: Agriculture Type: general – SubjectFull: Water conservation Type: general – SubjectFull: Greenhouses Type: general – SubjectFull: Sustainability Type: general – SubjectFull: Fertilizers Type: general Titles: – TitleFull: Development of a fuzzy logic-based greenhouse system for optimizing bio-fertigation. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Touhami, Achouak – PersonEntity: Name: NameFull: Bourouis, Amina – PersonEntity: Name: NameFull: Mahammedi, Amel – PersonEntity: Name: NameFull: Mechraoui, Sana – PersonEntity: Name: NameFull: Touhami, Sana IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: Oct2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 20888708 Numbering: – Type: volume Value: 15 – Type: issue Value: 5 Titles: – TitleFull: International Journal of Electrical & Computer Engineering (2088-8708) Type: main |
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