Abstract: There is provided a method of controlling a growth environment 50 of a plant 2, the method comprising: obtaining an electrical signal from the plant; generating, using at least one machine learning model, prediction data based upon the electrical signal, wherein the at least one machine learning model has been trained to assess at least one characteristic of the plant, and wherein the prediction data are based upon output(s) of the at least one machine learning model and indicate an assessment of the at least one characteristic of the plant; and applying a user defined rule set to the prediction data to generate a plant control signal, wherein the plant control signal is configured to change the growth environment of the plant.

Abstract: There is provided a method of assessing a characteristic of a plant (2), comprising: obtaining a training dataset, wherein the training dataset comprises first data characterising a first electrical signal obtained from a first plant during a first time period when a stressor is present in the first plant or a growth environment of the first plant, second data characterising a second electrical signal obtained from the first plant during a second time period when a stressor is not present in the first plant or the growth environment of the first plant, and third data indicative of a characteristic of the first plant during the first time period and a characteristic of the first plant during the second time period; training a machine learning model based upon the training dataset; obtaining a third electrical signal from a second plant; and assessing, using the trained machine learning model, a characteristic of the second plant based upon the third electrical signal.