Dual Clustering in Vision Systems for Robots Deployed for Agricultural Purposes

Abstract

Continuously variable parameters of environment of robots' functioning complicate their use in agriculture. Record of disturbing actions only by means of software leads to complication of the programs. In turn, this leads to rise in price of the software product and reduction of robot's operational reliability. The authors suggest carrying out preliminary adaptation of the vision system to environment by means of hardware. Hardware is selected automatically based on artificial intelligence.