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Fundamental research far an intelligent plant factory based on the computerized network.

Fundamental research far an intelligent plant factory based on the computerized network.
基于计算机网络的智能植物工厂的基础研究。
批准号:
11460121
负责人:
HASHIMOTO Yasushi
金额:
$9.66万
依托单位:
依托单位国家:
日本
项目类别:
Grant-in-Aid for Scientific Research (B)
财政年份:
1999
资助国家:
日本
项目状态:
已结题
起止时间:
1999 至 2001

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中文摘要
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英文摘要
In this study, an effective data communication technique for a decentralized plant production system consisting of many plant factories, which works on the network, was explored.1. Image data are characterized by large size. An effective image compression technique for plant was developed to deal well with such large sized data on the network. It was applied for diagnosing the growth conditions of plants cultivated in different plant factories by transmitting their plant images. This technique was very useful for data communication among several plant factory systems. (Paper 1)2. A stereo sensing technique was developed to construct 3-dimensional plant shape in real-time processing. A fruit image was first obtained by composing two images took from the right and left directions using two CCD cameras and then extracted its outline by displaying with linear lines. From these procedures, we obtained a 3-dimensional plant model. This technique significantly shortened the processing time fo … More r 3-D image construction. We could obtain a more effective 3-dimentional model, which looks like an image taken by a real human vision, by using the concept of a tele-existence method. (Papers 2 and 3)3. An image recognition technique for a visual sensor of a harvesting robot was developed and applied it to the evaluation of the quality of seedlings which are moving on the belt conveyor. This technique provided a high-speed processing (5 images/s) for evaluation. This technique was useful to achieve automation of a plant evaluation system. (Paper 4)4. Shape evaluation of fruit is quite empirical and uncertain. A new technique was developed to evaluate the fruit shape quantitatively using attractor, fractal dimension and neural networks. There was high correlations among identification errors, the shapes of attractors and fractal dimensions for evaluating fruit shape. So, these approaches allow the quantitative evaluation of the complexity of the fruit shape and are useful for the data communication among plant factories. (Paper 5)5. Finally, total mechanization and automation for decentralized plant factories were investigated using newly developed image processing techniques mentioned above. (Paper 6) Less
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通讯作者:
Y.Hashimoto: "Intelligent Systems for Agriculture in Japan"IEEE Control System Magazine. 21・5. 71-85 (2001)
Y. Hashimoto:“日本农业智能系统”IEEE 控制系统杂志 21・5(2001 年)。
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19
    Oncolytic vaccinia virus as an adjuvant treatment to enhancement of chemosensitivity in human pancreatic cancer cells through overexpression of Gemcitabine transporter proteins
    • 批准号:
      24790315
    • 项目类别:
      Grant-in-Aid for Young Scientists (B)
    • 资助金额:
      $2.83万
    • 财政年份:
      2012
    • 负责人:
      HASHIMOTO Yasushi
    • 依托单位:
    Ecological study of introduction of ectomycorrhizal fungi inoculum under primary succession on coastal sand dunes.
    Intelligent 3-D recognition system considering the geometric characteristics of plants and structures in agricultural production systems
    • 批准号:
      06506002
    • 项目类别:
      Grant-in-Aid for Scientific Research (A)
    • 资助金额:
      $24.26万
    • 财政年份:
      1994
    • 负责人:
      HASHIMOTO Yasushi
    • 依托单位:
    SYSTEMATIZATION OF CULTIVATING PROCESSES BY ARTIFICIAL INTELLIGENCE
    • 批准号:
      03404011
    • 项目类别:
      Grant-in-Aid for General Scientific Research (A)
    • 资助金额:
      $19.58万
    • 财政年份:
      1991
    • 负责人:
      HASHIMOTO Yasushi
    • 依托单位:
    海外基金