课题基金 / 基金详情

Application of intelligent control based on fuzzy logic to the optimal control for accelerating calcium ion uptake of tomato plants in hydroponics

Application of intelligent control based on fuzzy logic to the optimal control for accelerating calcium ion uptake of tomato plants in hydroponics
基于模糊逻辑的智能控制在水培番茄植株加速钙离子吸收优化控制中的应用
批准号:
03660269
负责人:
MORIMOTO Tetsuo
金额:
$1.15万
依托单位:
依托单位国家:
日本
项目类别:
Grant-in-Aid for General Scientific Research (C)
财政年份:
1991
资助国家:
日本
项目状态:
已结题
起止时间:
1991 至 1993

项目摘要

项目成果

MORIMOTO Tetsuo的其他基金

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
There are many physiological disorders, e.g.blossom-end rot of fruits, caused by calcium deficiency in a hydroponic tomato cultivation. In order to obtain better quality of fruits in a tomato cultivation, effective control of the hydroponic system is neccessay. However, the control system is characterized by complexity and fuzziness. In this study, intelligent control techniques based on fuzzy logic, neural networks and genetic algorithm are developed and then applied to the optimal control of hydroponic tomato cultivation.(1) In the tomato cultivation, marked calcium ion uptake was observed during the reproductive growth. So, the calcium deficiency in tomato fruits seems to be caused by rather low calcium ion transportaion to the fruits than low calcium ion uptake.(2) A newly developed adaptive control technique combining with the feedback control based on fuzzy logic and the feedforward control based on neural networks was effective for the time-varying control problem of the hydroponic nutrient solution. Applying the fuzzy logic increased flexibility and smoothness of the control performance. Furthermore, applying the inverse system model based on neural networks, more speedy and adaptive control performances were obtained.(3) A newly developed optimal control technique combining with neural networks and genetic algorithms was useful for optimization of net photosynthetic rate of a plant. In the method, the net photosynthetic rate to intermittent solution supply is at first identified by using neural networks and then optimal values of 4-step drainage and supply times for intermittent solution supply are determined through the model simulation by using genetic algorithms. The use of neural networks made it possible to identify such complex systems as net photosynthetic rate. Furthermore, the genetic algorithms enable us to quickly search the optimal values.
期刊论文(5)
专著(0)
科研奖励(0)
会议论文
T.Morimoto, T.Takeuchi and Y.Hashimoto: "Application of genetic algorithm and artificial neural network to the optimal control of hydroponic system" Environ.Control in Biol.31(1). 21-27 (1993)
T.Morimoto、T.Takeuchi 和 Y.Hashimoto:“遗传算法和人工神经网络在水培系统最优控制中的应用”Environ.Control in Biol.31(1)。
DOI: --
发表时间:
期刊:
影响因子: --
作者: []
通讯作者:
DOI: --
发表时间:
期刊:
影响因子: --
作者: []
通讯作者:
橋本康・森本哲夫・鳥居徹: "植物環境制御システムの同定、モデル化、最適制御-解析的制御と知能的制御の研究動向-" 生物環境調節. 31(2). 45-59 (1993)
Yasushi Hashimoto、Tetsuo Morimoto 和 Toru Torii:“植物环境控制系统的识别、建模和优化控制 - 分析控制和智能控制的研究趋势”《生物环境调节》31(2)。
DOI: --
发表时间:
期刊:
影响因子: --
作者: []
通讯作者:
DOI: --
发表时间:
期刊:
影响因子: --
作者: []
通讯作者:
Development of a quick freezing technique for long storage of fruit and vegetables
  • 批准号:
    22658076
  • 项目类别:
    Grant-in-Aid for Challenging Exploratory Research
  • 资助金额:
    $2.08万
  • 财政年份:
    2010
  • 负责人:
    MORIMOTO Tetsuo
  • 依托单位:
Applications of heat stress and low temperature for qualitative improvement of fruit during storage.
  • 批准号:
    16380170
  • 项目类别:
    Grant-in-Aid for Scientific Research (B)
  • 资助金额:
    $9.79万
  • 财政年份:
    2004
  • 负责人:
    MORIMOTO Tetsuo
  • 依托单位:
A heat stress application technique for retaining the freshness of fruit during storage.
  • 批准号:
    14560217
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
  • 资助金额:
    $2.18万
  • 财政年份:
    2002
  • 负责人:
    MORIMOTO Tetsuo
  • 依托单位:
Qualitative improvement of fruit during cultivation and storage
  • 批准号:
    12460114
  • 项目类别:
    Grant-in-Aid for Scientific Research (B)
  • 资助金额:
    $7.87万
  • 财政年份:
    2000
  • 负责人:
    MORIMOTO Tetsuo
  • 依托单位:
海外基金