Precise technologies in forestry: Problems and prospects

Abstract

The paper highlights features of transition from traditional to precision forestry. The transition results are: selective cultivation and cloning of seedlings; specific fertilizer treatment; digital forest inventory; fully mechanized logging of trees; early fire detection. It has been established that the high-precision forestry system includes such technologies that involve improvement of the forest management system, providing tighter operations control and improved data collection; increasing recipes selectivity in accordance with a geographical location; automation of operations, from work in nurseries to forest logistics; Search for optimal solutions using geolocation databases and advanced analytics. According to the McKinsey & Company Research Center, the following promising areas for the development of precision forestry have been: genetics and nurseries; forest management (forestry); logging; wood delivery; value chain. Information and monitoring systems for the forest complex are an important tool in developing an effective forest management policy, and most of the tools and technologies used in forestry are somehow related to remote sensing, GIS technologies and global positioning systems (GPS). The information presented is the basis for intersectoral relations strengthening and can reduce costs of deforestation and illegal logging, forest management and forest fires costs as well as forests mapping costs.