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Phytotechnology Advancement Based on Bio-information and Functions

基于生物信息和功能的植物技术进步

基本信息

批准号：
07306012
负责人：
SASAO Akira
金额：
$ 11.39万
依托单位：
Tokyo University of Agriculture and Technology
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (A)
财政年份：
1995
资助国家：
日本
起止时间：
1995 至 1997
项目状态：
已结题

项目摘要

The objective of project was to make clear the fundamental avenue for applications of the phytotechnology researches into practical sites of bio-production. Systems analysis lead to set up four sub-project groups : bio-information analysis project, bio-modeling project, crop management project, and self-sustaining robotics project. Results were as follows.1) Bio-information analysis project provided an identification of plant response to magnetostatic field and acoustic stimuli, an image recognition of plant response to variation in thermodynamic environment, and a genetic algorithm for thermal optimization inside the culture vessel.2) Bio-modeling project established an algorithm for pattern formation of growth and flowering of plant, a diagnosis of recovering for transplanted roots by cross-correlation function, a concept of harmonized creating field by growing root and the surroundings, and a chaos control technique for eco-dynamics.3) Crop management project offered a cropping system with organic multi for non-weed and non-tillage cultivation, a new technique for visualization of root system in the soil, measurements on variability of soil parameters in the field, and an in-situ color image processing tool for paddy leaves.4) Self-sustaining robotics project developed a Chrysanthemum cutting sticking system, a controlled system for the production of plant grafting seedlings, and an image recognition of fruit body in situ.These establishments are published byJSAM as a textbook"Phytotechnology (Part 4)".

该项目的目标是明确植物技术研究应用于生物生产实际场所的基本途径。系统分析导致成立四个子项目组：生物信息分析项目，生物建模项目，作物管理项目和自我维持机器人项目。研究结果如下：1）生物信息分析项目提供了植物对静磁场和声刺激响应的识别，植物对热环境变化响应的图像识别，以及用于培养容器内温度优化的遗传算法。2）生物建模项目建立了植物生长和开花模式形成的算法，利用互相关函数对移植根系恢复的诊断、根系生长与环境协调造田的概念以及生态动力学的混沌控制技术。3）作物管理工程为无杂草免耕栽培提供了一个有机多元的种植制度，一种新的技术，用于可视化土壤中的根系，测量田间土壤参数的变化，以及用于水稻叶片的原位彩色图像处理工具。4）自立机器人项目开发了一种菊花切割粘贴系统，一种用于生产植物嫁接苗的控制系统，以及子实体的原位图像识别，这些建立被JSAM作为教科书《植物技术（第4部分）》出版。