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Abstract

With the aim of providing a tool to help optimize crop yields and increase agricultural sustainability, the main purpose of this work is to design a portable sensor that is able to both acquire the plant electrical response in regular production conditions and identitfy the plant status using machine learning algorithms by exploiting the information existing in the acquired signal.

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