Description: 果蔬收获机器人是机器人技术在农业中的具体应用，基于避障的路径规划是果蔬收获机器人主要
的研究内容。由于农业机器人作业环境的复杂性和非结构性，神经网络籽是其重要的研究方法。为此，介
绍了神经网络的特点，重点分析了采用神经网络描述果蔬收获机器人工作环境的基本思路，最后给出了黄
瓜采摘机器人的具体分析实例，对农业机器人工作环境的描述具有较高的参考价值。-Fruit and vegetable harvesting robot is the robot technology in agriculture specific application, based on the obstacle avoidance path planning is the main fruit and vegetable harvesting robot research. Operating environment as a result of agricultural robot complexity and non-structural, neural network is an important seed of research methods. To this end, introduce the characteristics of neural networks, focusing on the use of neural network analysis of fruit and vegetable harvesting robot description of the working environment of the basic ideas, the final cucumber picking robot is given specific examples of analysis of agricultural robot description of the work environment has a high reference value. Platform: |
Size: 182272 |
Author:高子 |
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Description: 摘 要：果蔬收获机器人是机器人技术在农业中的具体应用，基于避障的路径规划是果蔬收获机器人主要
的研究内容。由于农业机器人作业环境的复杂性和非结构性，神经网络籽是其重要的研究方法。为此，介
绍了神经网络的特点 ，重点分析了采用神经网络描述果蔬收获机器人工作环境的基本思路 ，最后给出了黄瓜采摘机器人的具体分析实例，对农业机器人工作环境的描述具有较高的参考价值。 -Abstract: The fruit and vegetable harvesting robot is the robot technology in agriculture specific application, based on the obstacle avoidance path planning is the main fruit and vegetable harvesting robot research. Operating environment as a result of agricultural robot complexity and non-structural, neural network is an important seed of research methods. To this end, introduced the characteristics of neural networks, focusing on the use of neural network analysis of fruit and vegetable harvesting robot describes the basic idea of the working environment, and finally given a cucumber harvesting robot specific examples of analysis of agricultural robot description of the work environment has a high reference value. Platform: |
Size: 182272 |
Author:彭彭 |
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Description: 分布式环境的计算，课件的使用，以及各种资源-The research paper of “Segmentation methods of fruit image based on color difference” is mainly about four segmentation methods in fruit-harvesting robot vision, which respectively are dynamic threshold segmentation method, extended Otsu method, improved Otsu combined with genetic arithmetic and adaptive segmentation method based on LVQ network. It is written in a good structure. Platform: |
Size: 436224 |
Author:陈宥余 |
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