Revolutionizing Agriculture: A Comprehensive Review of AI-Enabled Precision Irrigation and Water Quality Forecasting
Climate change poses significant challenges to the agricultural sector, exacerbating water scarcity and intensifying the irrational utilization of water reserves. In response to these pressing issues, Artificial Intelligence (AI) optimizes irrigation, predicting water quantity and quality to ensure...
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| Format: | Article |
| Language: | English |
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University of Basrah
2024-12-01
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| Series: | Maǧallaẗ al-baṣraẗ al-ʻulūm al-zirāʻiyyaẗ |
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| Online Access: | https://www.bjas.bajas.edu.iq/index.php/bjas/article/view/2010 |
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| author | Hajar Hamdaoui Youness Hsana Inass Hamdi Hanae Al kaddouri Nour-Eddine Kouddane |
| author_facet | Hajar Hamdaoui Youness Hsana Inass Hamdi Hanae Al kaddouri Nour-Eddine Kouddane |
| author_sort | Hajar Hamdaoui |
| collection | DOAJ |
| description | Climate change poses significant challenges to the agricultural sector, exacerbating water scarcity and intensifying the irrational utilization of water reserves. In response to these pressing issues, Artificial Intelligence (AI) optimizes irrigation, predicting water quantity and quality to ensure optimal crop yields. AI-driven approaches mitigate the challenges of water scarcity, enhancing precision in irrigation management. This review explores recent AI applications in irrigation, focusing on three areas: AI-powered estimation of Crop Evapotranspiration (ETo), integration of AI with Interet of Things (IoT) for Smart Irrigation Systems (Smart-IS), and AI's role in forecasting water quality for irrigation. AI algorithms optimize water usage by quantifying water needs, enabling real-time monitoring, autonomous decision-making, and mitigating risks associated with poor water quality, thus enhancing crop productivity while minimizing environmental impacts. This review emphasizes AI's role in addressing water scarcity and optimizing irrigation in agriculture by utilizing different technologies to ensure sustainable water management and food security. Future researchers will find this review valuable for understanding AI's current impact on irrigation and identifying avenues for further innovation.
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| format | Article |
| id | doaj-art-a33d56e61ae54d249b9934943e0b1aaa |
| institution | Kabale University |
| issn | 1814-5868 2520-0860 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | University of Basrah |
| record_format | Article |
| series | Maǧallaẗ al-baṣraẗ al-ʻulūm al-zirāʻiyyaẗ |
| spelling | doaj-art-a33d56e61ae54d249b9934943e0b1aaa2025-01-03T18:58:01ZengUniversity of BasrahMaǧallaẗ al-baṣraẗ al-ʻulūm al-zirāʻiyyaẗ1814-58682520-08602024-12-01372Revolutionizing Agriculture: A Comprehensive Review of AI-Enabled Precision Irrigation and Water Quality ForecastingHajar Hamdaoui0Youness Hsana1Inass Hamdi2Hanae Al kaddouri3Nour-Eddine Kouddane4Mohammed First University, Laboratory for Improvement of Agricultural Production, Biotechnology, and Environment, Oujda, MoroccoWestern Brittany University, Laboratory of Biodiversity and Microbial Ecology, Quimper, FranceBiology and Health Laboratory, Faculty of Sciences, Ibn Tofail University, Kenitra, MoroccoMohammed First University, Smart Information and Communication Technology Laboratory Oujda, MoroccoMohammed First University, Laboratory for Improvement of Agricultural Production, Biotechnology, and Environment, Oujda, MoroccoClimate change poses significant challenges to the agricultural sector, exacerbating water scarcity and intensifying the irrational utilization of water reserves. In response to these pressing issues, Artificial Intelligence (AI) optimizes irrigation, predicting water quantity and quality to ensure optimal crop yields. AI-driven approaches mitigate the challenges of water scarcity, enhancing precision in irrigation management. This review explores recent AI applications in irrigation, focusing on three areas: AI-powered estimation of Crop Evapotranspiration (ETo), integration of AI with Interet of Things (IoT) for Smart Irrigation Systems (Smart-IS), and AI's role in forecasting water quality for irrigation. AI algorithms optimize water usage by quantifying water needs, enabling real-time monitoring, autonomous decision-making, and mitigating risks associated with poor water quality, thus enhancing crop productivity while minimizing environmental impacts. This review emphasizes AI's role in addressing water scarcity and optimizing irrigation in agriculture by utilizing different technologies to ensure sustainable water management and food security. Future researchers will find this review valuable for understanding AI's current impact on irrigation and identifying avenues for further innovation. https://www.bjas.bajas.edu.iq/index.php/bjas/article/view/2010Climate ChangeArtificial IntelligenceInternet of ThingsSmart Irrigation SystemCrop EvapotranspirationIrrigation Water |
| spellingShingle | Hajar Hamdaoui Youness Hsana Inass Hamdi Hanae Al kaddouri Nour-Eddine Kouddane Revolutionizing Agriculture: A Comprehensive Review of AI-Enabled Precision Irrigation and Water Quality Forecasting Maǧallaẗ al-baṣraẗ al-ʻulūm al-zirāʻiyyaẗ Climate Change Artificial Intelligence Internet of Things Smart Irrigation System Crop Evapotranspiration Irrigation Water |
| title | Revolutionizing Agriculture: A Comprehensive Review of AI-Enabled Precision Irrigation and Water Quality Forecasting |
| title_full | Revolutionizing Agriculture: A Comprehensive Review of AI-Enabled Precision Irrigation and Water Quality Forecasting |
| title_fullStr | Revolutionizing Agriculture: A Comprehensive Review of AI-Enabled Precision Irrigation and Water Quality Forecasting |
| title_full_unstemmed | Revolutionizing Agriculture: A Comprehensive Review of AI-Enabled Precision Irrigation and Water Quality Forecasting |
| title_short | Revolutionizing Agriculture: A Comprehensive Review of AI-Enabled Precision Irrigation and Water Quality Forecasting |
| title_sort | revolutionizing agriculture a comprehensive review of ai enabled precision irrigation and water quality forecasting |
| topic | Climate Change Artificial Intelligence Internet of Things Smart Irrigation System Crop Evapotranspiration Irrigation Water |
| url | https://www.bjas.bajas.edu.iq/index.php/bjas/article/view/2010 |
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