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. Rational recycling of agricultural machinery, which has reached the end of its service life, is an urgent problem of the modern agro-industrial complex. In this regard, using the physical model for recycling agricultural machinery, reached its service life, is a solution to the problem of resource recycling.Materials and Methods. The paired linear regression analysis method was used to conduct statistical research of experimental data and develop a regression model. The authors calculated the recyclability rate values for the entire agricultural machinery nomenclature and its average value through using regression equation.Results. Based on the analysis of indicators for technical condition of being recycled products, it was established that for developing a conceptual model of agricultural machinery recycling, it is preferable to use four main groups of indicators: technical condition, material capacity, manufacturability, and safety of components. The proposed group of indicators determines the possibility of recycling the machinery units. The results of researching the influence of indicators of design complexity, technical performance, condition, nomenclature and quantitative composition of agricultural machinery on the recyclability are presented.Discussion and Conclusion. According to the research results, a conceptual physical model for recyclability of agricultural machinery was developed that allows planning more effectively measures for recycling various types of agricultural machinery when conducting a comparative analysis of the entire nomenclature composition. The adopted restrictions allow estimating the technical condition and recyclability of agricultural machinery using the conceptual physical model of recyclability. The relationships between the storage time, complexity of technical performance, material capacity, quantitative composition (volume of recycling) and recyclability rate of agricultural machinery are revealed.

inženernye tehnologii i sistemy

Studying the Influence of the Technical Performance Complexity and the Nomenclature and Quantitative Composition of Agricultural Machinery on Its Recyclability Rate