Artificial intelligence for small hydroponics farms employing fuzzy logic systems and economic analysis
ABSTRACT The application of artificial intelligence (AI) in modern agriculture has attracted increasing attention since its automation has the potential to accelerate food production with efficiency in resource use. Fuzzy logic, as one AI method, can be applied in hydroponics as an automation functi...
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| Format: | Article |
| Language: | English |
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Universidade Federal de Campina Grande
2023-06-01
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| Series: | Revista Brasileira de Engenharia Agrícola e Ambiental |
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| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662023000900690&tlng=en |
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| _version_ | 1849470105003491328 |
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| author | Anugerah F. Amalia Heni S. P. Rahayu Yogi P. Rahardjo Lintje Hutahaean Eni S. Rohaeni Chandra Indrawanto Ratna A. Saptati Viktor Siagian Abdul Waris |
| author_facet | Anugerah F. Amalia Heni S. P. Rahayu Yogi P. Rahardjo Lintje Hutahaean Eni S. Rohaeni Chandra Indrawanto Ratna A. Saptati Viktor Siagian Abdul Waris |
| author_sort | Anugerah F. Amalia |
| collection | DOAJ |
| description | ABSTRACT The application of artificial intelligence (AI) in modern agriculture has attracted increasing attention since its automation has the potential to accelerate food production with efficiency in resource use. Fuzzy logic, as one AI method, can be applied in hydroponics as an automation function of a nutrient mixing machine. There have been some inventions of nutrient mixing machines in commercial-scale agribusiness but not yet at the level of the small and medium farms that are mostly found in developing countries. This study constructed a hydroponics nutrient mixing machine employing a fuzzy logic method, calculated the machine’s efficiency, and evaluated its economic application. The automated nutrient mixing machine using fuzzy logic was efficient, and both theoretical field capacity and actual field capacity indicators were higher with the use of the nutrient mixing machine compared to manual nutrient mixing. This machine saves 78% of the labor normally used for mixing nutrients, with a saving of up to 42.86% in the nutrients used compared with mixing manually. |
| format | Article |
| id | doaj-art-e223345bff6e434a9a0594cbf8bab7f9 |
| institution | Kabale University |
| issn | 1807-1929 |
| language | English |
| publishDate | 2023-06-01 |
| publisher | Universidade Federal de Campina Grande |
| record_format | Article |
| series | Revista Brasileira de Engenharia Agrícola e Ambiental |
| spelling | doaj-art-e223345bff6e434a9a0594cbf8bab7f92025-08-20T03:25:15ZengUniversidade Federal de Campina GrandeRevista Brasileira de Engenharia Agrícola e Ambiental1807-19292023-06-0127969069710.1590/1807-1929/agriambi.v27n9p690-697Artificial intelligence for small hydroponics farms employing fuzzy logic systems and economic analysisAnugerah F. Amaliahttps://orcid.org/0000-0001-9261-9473Heni S. P. Rahayuhttps://orcid.org/0000-0002-2089-3139Yogi P. Rahardjohttps://orcid.org/0000-0001-8328-6654Lintje Hutahaeanhttps://orcid.org/0000-0002-8437-5605Eni S. Rohaenihttps://orcid.org/0000-0002-7192-4580Chandra Indrawantohttps://orcid.org/0000-0002-4220-4031Ratna A. Saptatihttps://orcid.org/0000-0002-0859-3547Viktor Siagianhttps://orcid.org/0000-0003-0396-8706Abdul Warishttps://orcid.org/0000-0002-6019-4025ABSTRACT The application of artificial intelligence (AI) in modern agriculture has attracted increasing attention since its automation has the potential to accelerate food production with efficiency in resource use. Fuzzy logic, as one AI method, can be applied in hydroponics as an automation function of a nutrient mixing machine. There have been some inventions of nutrient mixing machines in commercial-scale agribusiness but not yet at the level of the small and medium farms that are mostly found in developing countries. This study constructed a hydroponics nutrient mixing machine employing a fuzzy logic method, calculated the machine’s efficiency, and evaluated its economic application. The automated nutrient mixing machine using fuzzy logic was efficient, and both theoretical field capacity and actual field capacity indicators were higher with the use of the nutrient mixing machine compared to manual nutrient mixing. This machine saves 78% of the labor normally used for mixing nutrients, with a saving of up to 42.86% in the nutrients used compared with mixing manually.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662023000900690&tlng=enautomationmixing machinenutrientsmall farms |
| spellingShingle | Anugerah F. Amalia Heni S. P. Rahayu Yogi P. Rahardjo Lintje Hutahaean Eni S. Rohaeni Chandra Indrawanto Ratna A. Saptati Viktor Siagian Abdul Waris Artificial intelligence for small hydroponics farms employing fuzzy logic systems and economic analysis Revista Brasileira de Engenharia Agrícola e Ambiental automation mixing machine nutrient small farms |
| title | Artificial intelligence for small hydroponics farms employing fuzzy logic systems and economic analysis |
| title_full | Artificial intelligence for small hydroponics farms employing fuzzy logic systems and economic analysis |
| title_fullStr | Artificial intelligence for small hydroponics farms employing fuzzy logic systems and economic analysis |
| title_full_unstemmed | Artificial intelligence for small hydroponics farms employing fuzzy logic systems and economic analysis |
| title_short | Artificial intelligence for small hydroponics farms employing fuzzy logic systems and economic analysis |
| title_sort | artificial intelligence for small hydroponics farms employing fuzzy logic systems and economic analysis |
| topic | automation mixing machine nutrient small farms |
| url | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662023000900690&tlng=en |
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