Abstract:

Tillage largely determines soil status and, consequently, the functioning of the system "water - soil - plant" so very urgent is the development and study of methods and tools to assess the degree of soil loosening and crumbling. Widespread digital photo and video prompted the authors to its use in the study of the mechanical effects on the soil. To quantify the optimality created loosening and crumbling of soil conditions for plant growth and development are encouraged to use the mechanism of pattern recognition based on neural networks. In the proposed method, we have taken as a basis for image processing by neural networks, which allows obtaining the empirical distribution of the number of lumps in size. Analysis of this distribution allows calculating the average value obtained after treatment of the soil lumps and their dispersion. This allows you to determine the effectiveness of the tools in assessing the extent of the soil crumbling. The proposed method allows for minimal time at the lowest cost to do quite adequate conclusions.