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Researchers at the University of Zurich have developed a method called PlantServation that uses big data, machine learning and field observations to observe how plants respond to changes in the environment. PlantServation involves robust image-acquisition hardware and deep learning-based software to analyze field images, and it works in any kind of weather. The research has been published in Nature Communications and the data collected showed the species-specific accumulation of a plant pigment called “anthocyanin” as a response to seasonal and annual fluctuations in temperature.