Plant Digital Twins Based on Model Phenotyping and Functional-Structural Plant Modeling

In this digital age, digital twin technology has been widely applied in various fields. However, its use in agriculture is still in the early stages. Existing literature on plant digital twins indicates that they have a limited capacity to interact with real plants or to predict the complete plant growth process. This paper aims to propose a new approach to plant digital twin by combining them with actual plant phenotyping technology. By obtaining plant phenotypic data and integrating them with the plant model, we aim at predicting the entire plant growth process, thereby achieving a dynamic plant digital twin.