Algorithms of Wheat Disease Identification in Spraying Robot System
| Autor: | Chunying Diao, Zhihua Diao, Yuanyuan Wu |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
0209 industrial biotechnology
Engineering business.industry fungi Process (computing) Stability (learning theory) food and beverages 04 agricultural and veterinary sciences 02 engineering and technology Hough transform law.invention Identification (information) 020901 industrial engineering & automation Control theory law Line (geometry) 040103 agronomy & agriculture Trajectory 0401 agriculture forestry and fisheries Robot business Algorithm |
| Zdroj: | 2017 9th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC). |
| DOI: | 10.1109/ihmsc.2017.183 |
| Popis: | In order to solve the problem that traditional mechanical spraying pesticide utilization rate is low and the diseases of crop can't be detected in the spraying process, an algorithm is presented for the application of robot system for disease identification and precision employing pesticide according to the law of the growth of common crops of wheat. Employing the proposed research methods, the type of crops diseases can be identified by crop pictures, and the extent of the damage is calculated according to the injured area. Crop line is identified by the improved Hough transform algorithm. On the basis of no change on the spraying pressure and flow regulation, the walking speed of robot spray rod is adjusted by the middle controller. The disease and crop information as a basis for precision spraying, take the crop line as the trajectory for the variable spraying. The experimental results show that the robot system works stably and has favorable stability and practicability. |
| Databáze: | OpenAIRE |
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