Academic Journal

Digital twin-based applications in crop monitoring

التفاصيل البيبلوغرافية
العنوان: Digital twin-based applications in crop monitoring
المؤلفون: Tsega Y. Melesse
المصدر: Heliyon, Vol 11, Iss 2, Pp e42137- (2025)
بيانات النشر: Elsevier, 2025.
سنة النشر: 2025
المجموعة: LCC:Science (General)
LCC:Social sciences (General)
مصطلحات موضوعية: Digital twin, Modeling approaches, Architecture, Benefits, Crop monitoring, Science (General), Q1-390, Social sciences (General), H1-99
الوصف: 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.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2405-8440
Relation: http://www.sciencedirect.com/science/article/pii/S2405844025005171; https://doaj.org/toc/2405-8440
DOI: 10.1016/j.heliyon.2025.e42137
URL الوصول: https://doaj.org/article/d9048ebf748f4d1b931b7264db3f5621
رقم الانضمام: edsdoj.9048ebf748f4d1b931b7264db3f5621
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:24058440
DOI:10.1016/j.heliyon.2025.e42137