The paper is devoted to the analysis of the state of the equipment recycling system in Russia and the issues of improving the legislative framework that accompanies it. The role of state structures in solving the problems of forming a resource-saving ecooriented system for the disposal of decommissioned equipment is reflected. To analyze the work in the field of waste management, to reflect the state of the legislative framework for the existing system of recycling equipment in Russia and abroad, to make recommendations for its improvement. Problems with waste appear when, in the process of production and consumption of substances, objects (equipment), he/she becomes unnecessary for their owners, their owner tries to get rid of this object in the most accessible way. According to numerous information, the disposal of equipment in Russia is mainly carried out (black waste collectors), which control more than 60 % of the scrap of non-ferrous and ferrous metals, so the solution to the problem of creating an effective system for the disposal of equipment becomes not just relevant, but vital for our state. The scientific community in Russia is constantly conducting research on the creation and implementation of a system for the disposal of decommissioned equipment, so, for example, MADI scientists proposed a regional car recycling system for implementation, the scientists of the Federal State Budgetary Educational Institution FNAC VIM also developed a regional system for the disposal of agricultural recycling equipment. In order to quickly solve the problem of working out a general strategy for creating an effective system of recycling equipment in Russia, taking into account the revision of the legislative framework, it is advisable to "run-in" it at the industry level, for example, in the agroindustrial complex, with subsequent replication in other industries.

The article presents a technique for continuous monitoring of the technical condition of energy-saturated agricultural machinery (SHT) using digital technologies, aimed at introducing new intelligent methods for diagnosing machines in the agro-industrial complex. It is noted that the main task of the digital monitoring system is to analyze the effective operation of equipment. The proposed neural network can continuously receive data on the technical condition of agricultural machinery in real time, analyzes and structures input values, such as engine speed, hourly fuel consumption, coolant temperature, which depend on the load and operating modes of the machine engine. The advantage of the digital method of monitoring the parameters of the technical condition is its assessment in the process of diagnosing in real time. The method allows to determine not only the cause of engine failure, but also to evaluate the efficiency of complex energy-saturated agricultural machinery in general. The developed architecture of the neural network is capable of analyzing and transmitting data obtained during the diagnostic process to a special server for storing information. The proposed method for continuous monitoring of the technical condition of complex energy-saturated equipment according to controlled parameters, based on the use of neural networks, can be quickly adapted to different brands of equipment when diagnosing.