An Intelligent Variable Spraying Decision-Making System Based on Fuzzy Neural Network for Greenhouse Mobile Robot

Author(s):  
Guoqin Gao ◽  
Haiyan Zhou ◽  
Xuemei Niu
2012 ◽  
Vol 241-244 ◽  
pp. 1835-1838
Author(s):  
Guo Qin Gao ◽  
Hai Yan Zhou ◽  
Xue Mei Niu ◽  
Zhi Ming Fang

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.


1992 ◽  
Vol 4 (4) ◽  
pp. 753-758 ◽  
Author(s):  
Tomonori HASHIYAMA ◽  
Shin-ichi HORIKAWA ◽  
Takeshi FURUHASHI ◽  
Yoshiki UCHIKAWA

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