The Effects of AI-Supported Autonomous Irrigation Systems on Water Efficiency and Plant Quality: A Case Study of <i>Geranium psilostemon</i> Ledeb

This study investigates the effects of an AI-supported irrigation system on the production of natural plant species and irrigation efficiency at Rize Recep Tayyip Erdoğan University. To enhance water resource efficiency while utilizing Turkey’s rich plant diversity, <i>Geranium psilostemon<...

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Main Authors: Gülcay Ercan Oğuztürk, Caner Murat, Meryem Yurtseven, Türker Oğuztürk
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Plants
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Online Access:https://www.mdpi.com/2223-7747/14/5/770
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author Gülcay Ercan Oğuztürk
Caner Murat
Meryem Yurtseven
Türker Oğuztürk
author_facet Gülcay Ercan Oğuztürk
Caner Murat
Meryem Yurtseven
Türker Oğuztürk
author_sort Gülcay Ercan Oğuztürk
collection DOAJ
description This study investigates the effects of an AI-supported irrigation system on the production of natural plant species and irrigation efficiency at Rize Recep Tayyip Erdoğan University. To enhance water resource efficiency while utilizing Turkey’s rich plant diversity, <i>Geranium psilostemon</i> Ledeb. (Black-Eyed Crane’s-Bill) was selected for cultivation. The research includes adaptation trials and growth monitoring of this perennial taxon, which naturally grows at an altitude of 2000 m. The experiments were conducted in two different environments: one utilizing an AI-supported irrigation system and the other relying on manual irrigation. The findings reveal that AI-supported irrigation systems optimize irrigation strategies, providing a more efficient and effective plant cultivation process compared to manual irrigation. The AI-supported irrigation system continuously monitors air and soil moisture levels, ensuring optimal irrigation conditions and instant adaptation to seasonal variations. This innovative approach minimizes water losses while preventing soil salinization, thereby offering a significant solution for sustainable agricultural practices. In conclusion, this study demonstrates that natural plant species can be effectively cultivated using AI-supported irrigation systems and that these systems hold great potential for water conservation and ecological balance. These findings present a crucial step toward developing effective solutions for global water challenges and promoting sustainable landscape and agricultural practices.
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issn 2223-7747
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spelling doaj-art-5dc9b08d024b4f63b24105d47d9994cd2025-08-20T02:59:15ZengMDPI AGPlants2223-77472025-03-0114577010.3390/plants14050770The Effects of AI-Supported Autonomous Irrigation Systems on Water Efficiency and Plant Quality: A Case Study of <i>Geranium psilostemon</i> LedebGülcay Ercan Oğuztürk0Caner Murat1Meryem Yurtseven2Türker Oğuztürk3Department of Landscape Architecture, Recep Tayyip Erdoğan University, Rize 53020, TürkiyeDepartment of Electrical and Electronics Engineering, Recep Tayyip Erdoğan University, Rize 53020, TürkiyeDepartment of Landscape Architecture, Recep Tayyip Erdoğan University, Rize 53020, TürkiyeDepartment of Landscape Architecture, Recep Tayyip Erdoğan University, Rize 53020, TürkiyeThis study investigates the effects of an AI-supported irrigation system on the production of natural plant species and irrigation efficiency at Rize Recep Tayyip Erdoğan University. To enhance water resource efficiency while utilizing Turkey’s rich plant diversity, <i>Geranium psilostemon</i> Ledeb. (Black-Eyed Crane’s-Bill) was selected for cultivation. The research includes adaptation trials and growth monitoring of this perennial taxon, which naturally grows at an altitude of 2000 m. The experiments were conducted in two different environments: one utilizing an AI-supported irrigation system and the other relying on manual irrigation. The findings reveal that AI-supported irrigation systems optimize irrigation strategies, providing a more efficient and effective plant cultivation process compared to manual irrigation. The AI-supported irrigation system continuously monitors air and soil moisture levels, ensuring optimal irrigation conditions and instant adaptation to seasonal variations. This innovative approach minimizes water losses while preventing soil salinization, thereby offering a significant solution for sustainable agricultural practices. In conclusion, this study demonstrates that natural plant species can be effectively cultivated using AI-supported irrigation systems and that these systems hold great potential for water conservation and ecological balance. These findings present a crucial step toward developing effective solutions for global water challenges and promoting sustainable landscape and agricultural practices.https://www.mdpi.com/2223-7747/14/5/770artificial intelligenceAI-supported irrigationwater efficiencyplant cultivationrize
spellingShingle Gülcay Ercan Oğuztürk
Caner Murat
Meryem Yurtseven
Türker Oğuztürk
The Effects of AI-Supported Autonomous Irrigation Systems on Water Efficiency and Plant Quality: A Case Study of <i>Geranium psilostemon</i> Ledeb
Plants
artificial intelligence
AI-supported irrigation
water efficiency
plant cultivation
rize
title The Effects of AI-Supported Autonomous Irrigation Systems on Water Efficiency and Plant Quality: A Case Study of <i>Geranium psilostemon</i> Ledeb
title_full The Effects of AI-Supported Autonomous Irrigation Systems on Water Efficiency and Plant Quality: A Case Study of <i>Geranium psilostemon</i> Ledeb
title_fullStr The Effects of AI-Supported Autonomous Irrigation Systems on Water Efficiency and Plant Quality: A Case Study of <i>Geranium psilostemon</i> Ledeb
title_full_unstemmed The Effects of AI-Supported Autonomous Irrigation Systems on Water Efficiency and Plant Quality: A Case Study of <i>Geranium psilostemon</i> Ledeb
title_short The Effects of AI-Supported Autonomous Irrigation Systems on Water Efficiency and Plant Quality: A Case Study of <i>Geranium psilostemon</i> Ledeb
title_sort effects of ai supported autonomous irrigation systems on water efficiency and plant quality a case study of i geranium psilostemon i ledeb
topic artificial intelligence
AI-supported irrigation
water efficiency
plant cultivation
rize
url https://www.mdpi.com/2223-7747/14/5/770
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