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Description: 一个农场，农场里种植了苹果，梨子，每一种水果由一名专门的园丁负责采摘，请用工厂模式对该农场进行表示，要求设计具有扩展性，扩展时不需要改变原有的代码，即农场中还可以增加其他的水果，但在增加是不需要改变农场原有的人员和水果的安排。-A farm, the farm planted apples, pears, each fruit by a dedicated gardener in charge of picking, please use the factory model of the farms that require the design of scalable, expansion does not need to change the original code, that is, farms can also add other fruits, but the increase is not necessary to change the original farms and fruit arrangements.
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Size: 9216 |
Author: xiang |
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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.
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Size: 182272 |
Author: 高子 |
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Description: 基于机器视觉的苹果检测与识别关键技术研究
本文以自然场景下的苹果果实为研究对象，对果实采
摘机器人采摘过程中苹果的检测与识别进行了研究，在机器视觉技术上提出一种新的圆
形检测算法，有效的实现了苹果特征提取。-Apple detection based on machine vision and identification of key technologies Taking apple fruit under natural scene for the study of the process of picking the fruit apple picking robot detection and recognition has been studied in machine vision technology presents a new round shape detection algorithm, effectively achieve the Apple feature extraction.
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Size: 2507776 |
Author: tanzheng |
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