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Alternative TitleOpen-sourced Intelligent Management Software for Greenhouse Tomato Growth
Thesis Advisor胡包钢
Degree Grantor中国科学院研究生院
Place of Conferral中国科学院自动化研究所
Degree Discipline模式识别与智能系统
Keyword植物生长模型 番茄 Logistic模型 Greenlab模型 遗传算法 Plant Growth Model Tomato Logistic Model Greenlab Model Genetic Algorithm
Abstract植物生长模型是通过一个简化的抽象的数学模型来反映、描述植物的生长过程。植 物生长是植物与外界环境的交互过程,而光、温、水、土对植物生长过程的影响又非常复 杂,因此植物生长模型还远未达到成熟的地步,还在不断地发展。植物生长模型有广泛的 应用前景,已经受到了越来越多的关注。 本文描述了一个用于温室番茄种植的智能管理系统。它提供了生产计划功能,产量预 测和优化功能等等,能为温室番茄的种植提供一定的帮助。它使用开放源码软件开发和运 行。本系统完成的主要工作和贡献有: ①提供了数据库访问的能力,实现了对大量数据的有效管理和高速存取。系统设计上 采用了面向数据的设计,使得系统能够容纳多个植物生长模型。 ②在软件中实现了‘Logistic’植物生长模型。将‘Logistic’模型应用于番茄的生长管理, 其模型得到的生长曲线与实际生长数据能够很好地吻合。实现了参数的自动获取和 手工调整,便于温室实际应用。在软件中还基于已有的工作成果,集成了植物形态 三维可视化功能,能支持GreenLab中的植物结构模型。 ③开发了基于科学计算语言SCILAB的遗传算法工具箱GATS,它具有多种编码方式, 支持多目标优化、并行计算等丰富的特性。软件中使用它来估计模型的参数,将来 还将用它来进行各种优化。 ④软件开放源码,具有良好的可扩展性,可以在多个平台上运行。它基于开放源码软 件,使得它能免费在广大农民中推广,特别适合中国国情和农业现状。 总的说来,本文描述的温室番茄生长智能管理系统对植物生长模型在农业上的应用作 了有益的探索。
Other AbstractPlant Modelling uses a simple and abstract model to describe, depict the process of plant growth. There are already plenty of plant models. Plant growth is a very complex interactive process between plant and outer environment elements, including light, temperature, water, soil, etc. Therefore, plant modelling is still in the state of art, and is progressing quickly. Plant growth modelling is prospective in agriculture application, and attracting more and more interest. This paper presents an open-sourced Intelligent Management Software for Greenhouse Tomato Growth. It can make production plan, yield forcasting and optimization, to help tomato growth in some aspects. The main contributions of this software include following issues: ① support database access, can manage huge amount of data in an easy way. data-oriented system design, can support multi plant model in one system. ② implement 'Logistic' plant growth model in system, apply it in tomato growth management. The curve inferred from model can fit the measured data well. The curve's parameters can be obtained automatically or ad- justed manually, to facilitate its application in greenhouse, based on others' work, integrate 3D visualization function into system, which can support 'GreenLab' plant growth model. ③ developed a genetic algorithm toolbox 'GATS' based on scientific comput- ing language SCILAB. It can use four gene coding scheme, support multi- objective optimization and parallel processing, etc. This toolbox can be used in parameter estimation and optimization. ④ open source, easy to be extended, and can run on several platforms (Win- dows, Linux/Unix). It's based on open source software, which makes it possible that farms can use it freely, very fitful with the situation of China's agriculture. In a word, by developing a software described in this thesis, we have made a fruitful attempt on plant growth model application in agriculture.
Other Identifier797
Document Type学位论文
Recommended Citation
GB/T 7714
李重. 开放源码的温室蕃茄生长智能管理软件平台开发研究[D]. 中国科学院自动化研究所. 中国科学院研究生院,2004.
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