Predicting And Understanding Plant Properties With Data-driven Approaches

This article discusses the use of data-driven approaches, such as predictive analytics and machine learning algorithms, in plant science and engineering. It highlights the shift from relying on empirical knowledge to utilizing advanced technologies and data collection methods to analyze plant properties. The goal is to establish a collaborative archive of plant-specific methodologies and advancements in the field.