Development of mounted system for controlling row crop cultivator in automatic mode

Weed control automation appears to be a very promising technology based on the tremendous advances in computer processing, machine vision and robotics. Machine systems are size differences between crops weeds or regular structure of crop rows, allowing system recognize plants surrounding weeds. The paper provides description mounted for orienting row cultivator rows its displacement relative tractor using automatic control. developed technical is capable clearly identifying sugar beet leaves deep learning artificial neural networks technology, specially algorithm center spacing moving part required direction level inaccuracy tractor. use controlled device with an implement systems, accuracy technological operations care, will increase unit, reduce labor costs. Technical improve quality inter-row cultivation pesticide load environment. results these studies can used create machines agricultural automated system.