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The paper presents a neural network study of the data of wheat seed quality. It is established that the analysis of bioelectrical signals of wheat seeds based on a neural network can be used in practice for the solution of two problems - diagnostics of seed material quality and the evaluation of cleaning line quality (separation into fractions). The paper presents the results of initial data preparation, formation of a neural network, analysis of training data for two practical problems of classification. It was established using a neural network that there is a nonlinear dependence of the membrane potential maximum value and the signal rise time on the seed yield. The model makes it possible to predict yield in terms of the seed material quality. A nonlinear dependence of the maximum membrane potential, the signal rise time of wheat seeds and the seeds variety to one or another faction (speed of separation into the fractions in this example) was also established in this paper. Studies have shown that the seeds variety is an important informative feature for solving the problem of classifying seeds by fractions. Therefore, it is necessary to conduct additional studies with other wheat seeds varieties to apply this method in practice.

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Introduction. Spring wheat yield depends largely on the wheat variety, seed quality, cultivation technology, and agro-climatic factors. It has been found that the separation of wheat seeds into fractions makes it possible to improve the quality of post-harvest processing, adjust the quality of grain depending on the intended use, and the sowing of the wheat grains divided into fractions allows increasing productivity. The aim of the article is to explore the membrane potential on the shells of wheat grains divided into fractions according to their aerodynamic properties and to compare certain membrane potential features with aerodynamic properties of these grains and the yields of selected varieties. Materials and Methods. The seeds, divided into fractions, have different sowing qualities. Biologically deficient seeds have poor germination index. The study have found that the division of seeds into fractions contributes to increasing yields, but the main indicators of quality are still germination and viability, for this reason an approach has been developed to determine the quality of wheat seeds divided into fractions. Results. This article studies the change in membrane potential of wheat seeds, divided into fractions according to their aerodynamic properties. The article presents the results of testing a new clamping electrode with a smooth surface to measure the membrane potential of wheat gains. To study the effect of the wheat variety, the aerodynamic properties of grains and yield on changes in membrane potential, we analyzed three indices: the resting potential level, time of variable potential rise to the maximum value and variable potential maximum value. Discussion and Conclusion. New informative indicators have been determined because of the two-way analysis of variance of the research results. These indicators reliably reflect the aerodynamic properties of seeds and can be used to predict yields. The use of the obtained results will allow agricultural enterprises and farms to determine the quality of post-harvest processing of wheat seeds, adjust the quality depending on the intended use, and evaluate and forecast the productivity of seeds.