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您的检索式：作者名="Baoxing Gu"
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| 1 | Slipping detection and control in gripping fruits and vegetables for agricultural robot显示文摘The minimum gripping force applied is expected to prevent objects from mechanical damage when an agricultural robot is applied to handle and manipulate fruits and vegetables.In this research,a sensitive slipping sensor was developed with a piezo resistor to control the griping force of the agricultural robot.Firstly,an output of the slipping sensor was analyzed in a frequency domain by using a short time Fourier transform.Then rules for discriminating slipping signal from the output of a slipping sensor were proposed based on detail coefficients of discrete wavelet transform.Finally,a controller based on adaptive Neuro-Fuzzy inference system was developed to adjust the grasping force of the agricultural robot in real time.The detail coefficients and the normal gripping force were applied as input of the controller,and Fuzzy rules were simplified through subtractive clustering.With a two-finger end-effector of the agricultural robot,the experimental results showed that the slipping signal could be effectively extracted regardless of change in the normal gripping force,and the gripping force had been controlled successfully when grasping tomatoes and apples.This method was a promising way to optimize the gripping force of the agricultural robot grasping the fruits and vegetables. | Guangzhao Tian Jun Zhou Baoxing Gu | 2018 | International Journal of Agricultural and Biological Engineering2018，11，4： | 2 |
| 2 | Review of agricultural IoT technology显示文摘Agricultural Internet of Things(IoT)has brought new changes to agricultural production.It not only increases agricultural output but can also effectively improve the quality of agricultural products,reduce labor costs,increase farmers'income,and truly realize agricultural modernization and intelligence.This paper systematically summarizes the research status of agricultural IoT.Firstly,the current situation of agricultural IoT is illustrated and its system architecture is summarized.Then,the five key technologies of agricultural IoT are discussed in detail.Next,applications of agricultural IoT in five representative fields are introduced.Finally,the problems existing in agricultural IoT are analyzed and a forecast is given of the future development of agricultural IoT. | Jinyuan Xu Baoxing Gu Guangzhao Tian | 2022 | Artificial Intelligence in Agriculture2022，，1： | 0 |
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