نوع مقاله : مقاله ترویجی
نویسندگان
1 دانشجوی دکتری تخصصی، گروه مدیریت و توسعه کشاورزی، دانشکده کشاورزی، دانشکدگان کشاورزی و منابع طبیعی، دانشگاه تهران، کرج، ایران
2 دانشجوی دکتری تخصصی، گروه مدیریت و توسعه کشاورزی، دانشکده کشاورزی، دانشکدگان کشاورزی و منابعطبیعی، دانشگاه تهران، کرج، ایران
چکیده
کلیدواژه‌ها
موضوعات
عنوان مقاله [English]
نویسندگان [English]
Digital Twin technology, as a virtual model of physical systems, enables the provision of real-time and precise data from various environments and processes. In agricultural sectors, including precision farming, water resource management, agricultural robotics, and post-harvest process optimization, this technology offers significant capabilities for enhancing productivity and reducing costs. This paper examines the applications of Digital Twin technology in agriculture and analyzes its opportunities and challenges. Initially, the opportunities, such as improved farm management, enhanced prediction accuracy, and resource consumption optimization, are examined. Subsequently, the implementation challenges in the agricultural sector, including data quality issues, privacy concerns, operational costs, and technical and legal complexities, are presented. This study aims to provide a more comprehensive understanding of the capabilities and barriers in implementing Digital Twin technology in agriculture while offering recommendations for future research and planning in this domain.
کلیدواژه‌ها [English]
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