Abstract:

In order to solve the problem that mechanical weeding between rice plants depends on the alignment of the machine and the seedling belt， an inter-plant weeding machine without avoiding seedlings was designed. The rear weeding component adopts the rake method to remove weeds. It controls the start and stop of the vibration operation in real time according to the front row recognition result. A tactile perception method was proposed to establish a rice plant posture recognition system. Firstly， the data of the roots of the rice plants on the front row of flexible brushes was obtained through the changes in the voltage data caused by the changes in the air pressure by the air pressure sensor. Then， the kurtosis feature and the mean feature in the data were extracted. Finally， the feature vector was substituted into the support vector machine to construct a rice plant posture recognition model. In this paper， a hydraulic motor and rear weeding components are used to form a vibration system， ensuring weeding components can move laterally. When the sensing system detects that the rice plant is fell down， the vibration system will stop working. The field test shows that the recognition accuracy of rice plant lodging is 83.11%. When the sensing system is not working， the weeding rate of the vibration system is 58.11%， and the seedling damage rate is 21.39% .The weeding rate with neither the sensing system nor the vibration system working is 27.89%， and the seedling damage rate is 4%. The weeding rate of the operation with sensing system and the vibration system at the same time is 56.17%， and the seedling damage rate is 5.83%. Based on the test results， the simultaneous working mode of the sensing system and the vibration system is more suitable for the removal of inter-plant weeds in the paddy field.

Key words: agricultural engineering and information technology, rice, mechanical weeding, inter-plant, identification