• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>Annual International Meeting of the American Society of Agricultural and Biological Engineers >Development of Intelligent Irrigation System, Robot Transporter, and Precision Artificial Lighting System for Moss Mat Production in a Fully Controlled Plant Factory
【24h】

Development of Intelligent Irrigation System, Robot Transporter, and Precision Artificial Lighting System for Moss Mat Production in a Fully Controlled Plant Factory

机译：智能灌溉系统，机器人运输车和精密人工照明系统在全控制厂房生产中的苔藓垫生产

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Plant factories can provide much better conditions for implementing precision agriculture since the environment of a plant factory is more controllable and observable than that of open-field agriculture. In plant factory, optimal control, expert systems, and robotics applications for obtaining higher yield and better quality of plant is essential. Most of the environmental factors in a fully controlled plant factory are observable and controllable. Sunagoke moss is one of the plant products which areproduced by plant factory. In this study, we will discuss the device, the design, and the implementation of micro-precision technologies for automated plant factory. The objectives of this research are developing an intelligent irrigation system, line tracer robot transporter, and precision artificial lighting system in a cultured moss mat production factory. In the intelligent irrigation system, machine vision device is used as non-destructive sensing to detect water stress in cultured moss mat. Artificial neural network has been tested successfully to describe the relationship between the water content of moss and image features such as color features and textural features from some color spaces (gray, RGB, HSV, HSL, L*a*b*, XYZ, LCH, and Luv). FishSwarm Intelligent as optimization algorithms have been successfully implemented to maximize the accuracy of Back-propagation Neural Network for predicting the deficit water content of moss mat. A miniature of line tracer robot transporter has been developed to simulate the transport process of moss mat in plant factory. A combination of machine vision and scanning type laser diodes lighting system is used to control the light condition. The intelligent irrigation system using artificial neural networkis able to predict the deficit water content of moss accurately and fulfil the water needs in moss mat precisely. The line tracer robot transporter has been tested successfully to describe the relationship between the load variations and the transport speed and energy. The precision artificial lighting system can recognize the moss mat area which lack of light and provide accurate light in each moss mat area according to their needs. Overall, the proposed control systems in this study are acceptable todevelop automated precision plant factory.
机译：由于工厂工厂的环境更具可控和观察，植物厂可以为实现精密农业提供更好的条件。在工厂工厂，最佳控制，专家系统和机器人应用中获得更高产量和更好的植物质量至关重要。完全控制的工厂工厂中的大多数环境因素是可观察和可控的。 Sungoke Moss是由工厂工厂产生的植物产品之一。在这项研究中，我们将讨论自动化工厂工厂微精密技术的设备，设计和实施。该研究的目的正在开发智能灌溉系统，线示踪机器人运输车和培养的苔藓垫生产工厂精密人工照明系统。在智能灌溉系统中，机器视觉装置用作非破坏性感测，以检测培养的苔藓垫中的水分胁迫。已经成功测试了人工神经网络，以描述苔藓的含水量和图像特征（如来自某些颜色空间的颜色特征和纹理特征）之间的关系（灰色，RGB，HSV，HSL，L * A * B *，XYZ，LCH和luv）。 Fishswarm智能作为优化算法已成功实施，以最大限度地提高背部传播神经网络的准确性，以预测苔藓垫的缺陷含水量。已经开发了一种线示踪机器人运输车的微型来模拟厂家厂的苔藓垫的运输过程。机器视觉和扫描型激光二极管照明系统的组合用于控制灯条件。智能灌溉系统使用人工神经网络能够准确地预测苔藓的缺陷水含量，并准确地满足苔藓垫中的水需求。线示踪机器机器人运输器已成功测试以描述负载变化与运输速度和能量之间的关系。精密人工照明系统可以识别缺乏光的苔藓垫区域，并根据其需求在每个苔藓垫区提供精确的光线。总体而言，本研究中的拟议控制系统是可接受的，即采纳自动化精密厂家。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号