Abstract
The paper discusses the results of digital phenotyping (clustering) by varieties of wheat seedlings of different ages of the varieties "Novosibirsk 41" and "Siberian 21." The objectives of studies of plant biopotentials, conditions and features of measurements are briefly described. The results of phenotyping by attributes of biopotential signals arising from exposure to low and high temperatures on 10-, 12- and 14-day seedlings obtained using clustering methods from the scikit-learn library in the Python programming environment are presented. Partial confirmation of the hypothesis about the influence of the age of samples on the quality of their clustering by varieties is recorded. Directions for further research are proposed
Keywords
References
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