The Recognition of Growth Conditions and Metabolic Type of Plants by a Potentiometric Electronic Tongue
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TL;DR
The application of a potentiometric electronic tongue for the recognition and classification of plant samples is presented and it was found that this device is capable of recognizing with high correctness the type of plant metabolism and the factors affecting nutritional values of plants.
Abstract
Abstract The application of a potentiometric electronic tongue for the recognition and classification of plant samples is presented. Homogenates from the leaves of various plants subtypes (maize and guinea grass) were measured with the use of sensor array based on ion‐selective and partially selective electrodes. It was found that this device is capable of recognizing with high correctness, the type of plant metabolism (distinguishing between two types of cereals) and the factors affecting nutritional values of plants such as cultivation time and light intensity during growth. The obtained results led to the conclusion that the presented system can be used for the monitoring of crops and estimation of the quality of plants.
