Research on Intelligent Decision-Making System of Variable Spraying for Mobile Robot in Greenhouse

Abstract

In order to improve the pesticide effective utilization rate and reduce the pesticide residues and the chemical pollution, an intelligent decision-making method for variable spraying of mobile robot based on a fuzzy neural network is proposed. The system is built by integrating the level of plant diseases and insect pests and the spraying target’s distance and area. The intelligent decision-making is achieved by self-learning and self-correcting the fuzzy rules of the fuzzy neural network. The simulation experiment results show that the intelligent decision-making method can realize real-time and quick decision. It has the greater decision accuracy than the fuzzy decision system on the samples not appearing in training and has a good fit for the uncertain work environment in greenhouse.