Phytotechnology Advancement Based on Bio-information and Functions

该项目的目的是明确植物技术研究应用于实际生物生产场所的基本途径。通过系统分析，我们建立了四个子项目组：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。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的响应识别，植物对热力学环境变化响应的图像识别，以及培养容器内热优化的遗传算法。2)生物建模项目建立了植物生长与开花模式形成算法、移栽根系恢复互相关函数诊断、根系与周围环境协调创造场概念、生态动力学混沌控制技术。3)作物管理项目提供了无杂草免耕有机复合种植系统、土壤根系可视化新技术、田间土壤参数变异性测量和水稻叶片原位彩色图像处理工具。4)自持机器人项目开发了菊花扦插系统、植物嫁接苗生产控制系统、果体原位图像识别系统。这些设施由jsam作为教科书“植物技术（第4部分）”出版。

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)".