DIGITAL TECHNOLOGIES IN INDUSTRIAL GARDENING WITH THE USE OF UNMANNED ROBOTS

The article is devoted to the consideration of problematic issues of using unmanned mobile robots in digital technologies of industrial horticulture. It is shown that the effectiveness of using mobile ro-bots depends on the level of development of neural networks when monitoring tree diseases, fruit ripeness and yield assessment. The main ways to improve neural networks for diagnosing apple trees and their fruits are considered. The main ways to modernize mobile robot platforms and their drives are also considered.