Abstract

The article presents the result of an information-measuring system development for quality control of agricultural products based on the assessment of their moisture content, chemical composition, presence of organic and mineral impurities. It also substantiates the relevance of the use of such systems by the agro-industrial complex enterprises. The proposed information-measuring system is based on the author's dielcometric method for determining the electrophysical parameters of capacitive sensors, the principle of which is to decompose the measuring process into two stages. The study of this method was carried out using simulation modeling in the SimInTech environment, while custom operational amplifier blocks and sample-and-hold circuit were built. As a result of the operational amplifier model research, graphs of the dependency of the output voltage on the change in the integration time constant and amplification gain were plotted, on the basis of which the optimal values of these quantities were selected. Studies of the constructed models of the first and second measurement stages using the proposed method showed a high accuracy in determining the electrophysical parameters of capacitive sensors filled with agricultural products, with a relative error not exceeding ±0.2%.

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