# Review of Transition from Mining 4.0 to Mining 5.0 Innovative Technologies
## 4 Perspective of Transition from Mining 4.0 to 5.0
### PostMining and Green Mining as a Specific Feature of Mining 5.0  
Recycling of natural and mineral resources as a component of Mining 5.0 is a part of postmining--the change in resource usage from natural ecosystems disturbed during mining to a new prosperity of resource clusters [126]. This, on the one hand, fits into the concept of human-centric Industry 5.0; on the other hand, it should be based on its breakthrough technologies that form Mining 5.0 (advanced neural networks, cloud computing for analyzing large amounts of data for comprehensive environmental and production-economic monitoring) [127]. Advanced digital technologies such as neural networks play an important role in the development of postmining, as well as in the advanced prediction of mining equipment failure. In particular, the lightweight convolutional neural network has been actively developing recently, proving its efficiency as a digital tool for the prediction of damages to mining equipment (such as conveyor belts). Such neural links have high-speed processing of a large number of images (for joined Yolov4 and MobileNet links--more than 70 fps with more than 90% accuracy) [36]. The application of a convolutional neural network to prevent rig failure gives an accuracy of 88.7% [37]. More advanced self-learning networks make it possible to successfully generate solutions to environmental problems in mining clusters, which is illustrated by the example of using [PERSON]'s network to adjust the strategy \"The European Green Deal\" based on the analysis of numerous environmental changes caused by underground and surface mining in Europe [38]. An important place in postmining is the restoration of biodiversity in places of intensive mining after closing the enterprises. Research in this area affects the convergence of geotechnology and microbiology in terms of the accelerated restoration of forest cover on lands occupied by mine and quarry fields and dumps [128]. It also concerns the selection of plants with the most successful vegetation in difficult physical and chemical conditions of zones of intensive mining [129] and the selection of biochemical compositions in areas of intensive reclamation for accelerated restoration of the ecosystem [130]. The concept of a new ecosystem on the site of a wasteland formed during the cessation of mining is being implemented in studies of the correlation between biota restoration and ecosystem development on the former coalmine sites [131]. As part of postmining, a new approach to environmental engineering is being developed in the transition from reclamation to revitalization in order to create the most sustainable and useful for humans and nature new ecosystem in mining clusters [132], reshaping the economy of old industrial regions upon completion of mining (for example, through the development of tourism) [133]. The European experience of postmining is associated with the production of electrical and thermal energy from secondary raw materials and wastes of extraction and primary processing of minerals, as well as with the study and implementation of alternative land-use planning scenarios (TRIM4 PostMining), which actively involve virtual digital technologies [134]. Much attention in postmining research is paid to neural network applications for investigation in satellite images of residential areas and infrastructure, mining facilities, and water and forest resources, with the assistance of artificial intelligence, in order to plan nature restoration work optimally [134], as well as to analyze the dynamic factors of the transition from energy production from fossil fuels to hydropower [135]. The attention of researchers is also drawn to the formation of water reservoirs in former quarry fields and areas of large subsidence of mine fields [136] and the formation of recreational, tourist, and fish-breeding centers there [137].