This review explores the application of digital twins (DTs) in open-field agriculture, livestock farming, and forestry. The paper highlights the multifaceted roles of DTs in these sectors, examining key aspects such as integration levels, data acquisition methods, technological capabilities, and input/output features. It addresses four primary research questions: how DTs are conceptualized and defined, their current applications, the extent of their integration, and the open questions, challenges, and future perspectives in these domains. The review identifies that while significant progress has been made, challenges such as data fragmentation, integration of expert knowledge, and the complexity of biotic and abiotic systems remain. A new sector-specific definition for DTs is proposed to align with the unique characteristics of these environments. The study concludes that DTs have the potential to revolutionize agriculture and forestry by enabling real-time insights, improving decision-making, and enhancing the efficiency of both biotic and abiotic systems. However, achieving full digital twin implementation requires overcoming technical, operational, and environmental challenges. The review also emphasizes the importance of interdisciplinary approaches and the need for further research to address the gaps in current DT applications. Overall, the paper provides a comprehensive overview of the current state of DTs in agriculture and forestry, highlighting their transformative potential and the need for continued innovation and development.This review explores the application of digital twins (DTs) in open-field agriculture, livestock farming, and forestry. The paper highlights the multifaceted roles of DTs in these sectors, examining key aspects such as integration levels, data acquisition methods, technological capabilities, and input/output features. It addresses four primary research questions: how DTs are conceptualized and defined, their current applications, the extent of their integration, and the open questions, challenges, and future perspectives in these domains. The review identifies that while significant progress has been made, challenges such as data fragmentation, integration of expert knowledge, and the complexity of biotic and abiotic systems remain. A new sector-specific definition for DTs is proposed to align with the unique characteristics of these environments. The study concludes that DTs have the potential to revolutionize agriculture and forestry by enabling real-time insights, improving decision-making, and enhancing the efficiency of both biotic and abiotic systems. However, achieving full digital twin implementation requires overcoming technical, operational, and environmental challenges. The review also emphasizes the importance of interdisciplinary approaches and the need for further research to address the gaps in current DT applications. Overall, the paper provides a comprehensive overview of the current state of DTs in agriculture and forestry, highlighting their transformative potential and the need for continued innovation and development.