Digital twin-based applications in crop monitoring
Technological advances in agriculture, particularly the use of digital twins, are having a significant impact on crop management. This article explores the use of digital twins in crop management, focusing on modeling methodologies, roles, implementation architecture, challenges, and prospects. The...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-01-01
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| Series: | Heliyon |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844025005171 |
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| _version_ | 1832573111348756480 |
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| author | Tsega Y. Melesse |
| author_facet | Tsega Y. Melesse |
| author_sort | Tsega Y. Melesse |
| collection | DOAJ |
| description | Technological advances in agriculture, particularly the use of digital twins, are having a significant impact on crop management. This article explores the use of digital twins in crop management, focusing on modeling methodologies, roles, implementation architecture, challenges, and prospects. The review identifies various modeling methods for digital twin development in crop monitoring, including physics-based, agent-based, data-driven, hybrid, and spatial models. These models provide up-to-date information on environmental conditions, soil moisture, and other variables affecting crop development and yield. Despite being in its early stages of implementation, digital twin technology is showing signs of progress, suggesting it could be the next step in crop farming's digitalization, increasing visibility and transparency, and improving decision-making processes. The review offers valuable insights and fills research gaps, enabling informed decisions for farmers, policymakers, and service providers to enhance productivity, sustainability, and resilience in modern agriculture. |
| format | Article |
| id | doaj-art-d9048ebf748f4d1b931b7264db3f5621 |
| institution | Kabale University |
| issn | 2405-8440 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Heliyon |
| spelling | doaj-art-d9048ebf748f4d1b931b7264db3f56212025-02-02T05:29:01ZengElsevierHeliyon2405-84402025-01-01112e42137Digital twin-based applications in crop monitoringTsega Y. Melesse0Faculty of Chemical and Food Engineering, Bahir Dar Institute of Technology, Bahir Dar University, Bahir Dar, EthiopiaTechnological advances in agriculture, particularly the use of digital twins, are having a significant impact on crop management. This article explores the use of digital twins in crop management, focusing on modeling methodologies, roles, implementation architecture, challenges, and prospects. The review identifies various modeling methods for digital twin development in crop monitoring, including physics-based, agent-based, data-driven, hybrid, and spatial models. These models provide up-to-date information on environmental conditions, soil moisture, and other variables affecting crop development and yield. Despite being in its early stages of implementation, digital twin technology is showing signs of progress, suggesting it could be the next step in crop farming's digitalization, increasing visibility and transparency, and improving decision-making processes. The review offers valuable insights and fills research gaps, enabling informed decisions for farmers, policymakers, and service providers to enhance productivity, sustainability, and resilience in modern agriculture.http://www.sciencedirect.com/science/article/pii/S2405844025005171Digital twinModeling approachesArchitectureBenefitsCrop monitoring |
| spellingShingle | Tsega Y. Melesse Digital twin-based applications in crop monitoring Heliyon Digital twin Modeling approaches Architecture Benefits Crop monitoring |
| title | Digital twin-based applications in crop monitoring |
| title_full | Digital twin-based applications in crop monitoring |
| title_fullStr | Digital twin-based applications in crop monitoring |
| title_full_unstemmed | Digital twin-based applications in crop monitoring |
| title_short | Digital twin-based applications in crop monitoring |
| title_sort | digital twin based applications in crop monitoring |
| topic | Digital twin Modeling approaches Architecture Benefits Crop monitoring |
| url | http://www.sciencedirect.com/science/article/pii/S2405844025005171 |
| work_keys_str_mv | AT tsegaymelesse digitaltwinbasedapplicationsincropmonitoring |